{"id":245958,"date":"2026-01-14T12:41:59","date_gmt":"2026-01-14T12:41:59","guid":{"rendered":"https:\/\/cyprusconferences.org\/aamas2026\/?page_id=245958"},"modified":"2026-01-26T14:05:39","modified_gmt":"2026-01-26T14:05:39","slug":"accepted-research-track","status":"publish","type":"page","link":"https:\/\/cyprusconferences.org\/aamas2026\/accepted-research-track\/","title":{"rendered":"Research Track"},"content":{"rendered":"

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Accepted as Full Paper<\/h2>\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
Title<\/th>Authors<\/th>\n<\/tr>\n<\/thead>\n
Characterizing Consensuses in Belief Flow Networks<\/td>Nicolas Schwind, Gauvain Bourgne, Katsumi Inoue<\/td>\n<\/tr>\n
Comparing the Fairness of Recursively Balanced Picking Sequences<\/td>Karen Frilya Celine, Warut Suksompong, Sheung Man Yuen<\/td>\n<\/tr>\n
Constrained Assumption-Based Argumentation Frameworks<\/td>Emanuele De Angelis, Fabio Fioravanti, Maria Chiara Meo, Alberto Pettorossi, Maurizio Proietti, Francesca Toni<\/td>\n<\/tr>\n
Identifying Essential Rule Sets in Agent-Based Models Through Systematic Ablation: A Tumor Evolution Case Study<\/td>Nhung Duong, \u00c4\u0090o\u00c3\u00a0n Minh L\u00c6\u00b0\u00e1\u00bb\u00a3ng, Anh Do, Anh Truong, Ngoc Do, Nguyen Tran Nam Tien, Tuan Do<\/td>\n<\/tr>\n
Multi-Objective Coverage via Constraint Active Search<\/td>Zakaria Shams Siam, Xuefeng Liu, Chong Liu<\/td>\n<\/tr>\n
An Algebraic Structuring of Epistemic States for BDI Agents in Uncertain Environments<\/td>Charles A. N. Costa, Marlo Souza, C\u00c3\u00a9lia Ghedini Ralha<\/td>\n<\/tr>\n
Interactive Bayesian Deception under Strategic Timing<\/td>Amitalok J. Budkuley, Arya Choudhuri<\/td>\n<\/tr>\n
SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model<\/td>Shiyue Cao, Pei Xu, Likun Yang, Lei Cui, Xiaotang Chen, Kaiqi Huang<\/td>\n<\/tr>\n
Cross-Domain Alignment with Fine Geometric Perception for Detail-Preserving Point Cloud Completion<\/td>Chen Huang, Haobo Ma, Yan Zhang, Chao Yang, Jianhua Song<\/td>\n<\/tr>\n
Decisions.jl: Representing and Transforming Decision Problem Classes in Julia<\/td>Mel Krusniak, Ofer Dagan, Himanshu Gupta, Benjamin Kraske, Kyle Hollins Wray, Zachary Sunberg<\/td>\n<\/tr>\n
Defection at First Sight: Learning Partner Selection in Optional Social Dilemmas without Prior Information<\/td>Benedict Russell, Chin-wing Leung, Paolo Turrini<\/td>\n<\/tr>\n
Metric Hedonic Games on the Line<\/td>Merlin de la Haye, Pascal Lenzner, Farehe Soheil, Marcus Wunderlich<\/td>\n<\/tr>\n
The Impossibility of Strategyproof Rank Aggregation<\/td>Manuel Eberl, Patrick Lederer<\/td>\n<\/tr>\n
Robust Counterfactual Inference in Markov Decision Processes<\/td>Jessica Lally, Milad Kazemi, Nicola Paoletti<\/td>\n<\/tr>\n
Surrogate-Augmented Deception in Reinforcement Learning (SAD-RL)<\/td>Joe Shymanski, Scott Nivison, Sandip Sen<\/td>\n<\/tr>\n
Decentralized Value Systems Agreements<\/td>Arturo Hernandez-Sanchez, Natalia Criado, Stella Heras, Miguel Rebollo, Jose Such<\/td>\n<\/tr>\n
Zero-Shot Coordination in Ad Hoc Teams with Generalized Policy Improvement and Difference Rewards<\/td>Rupal Nigam, Niket Parikh, Hamid Osooli, Mikihisa Yuasa, Jacob Heglund, Huy T Tran<\/td>\n<\/tr>\n
OSIL: Learning Offline Safe Imitation Policies with Safety Inferred from Non-preferred Trajectories<\/td>Returaj Burnwal, Nirav Pravinbhai Bhatt, Balaraman Ravindran<\/td>\n<\/tr>\n
Reasoning about Bias in Multi-Agent Systems Verification<\/td>Vadim Malvone, Chunyan Mu<\/td>\n<\/tr>\n
Maximizing Index Diversity in Committee Elections<\/td>Paula B\u00c3\u00b6hm, Robert Bredereck, Till Fluschnik<\/td>\n<\/tr>\n
Output-Feedback Security Tracking for Robotic Systems against DoS Attacks Using Finite-Time Observers<\/td>jingwen Fan, Xiaozheng Jin, Jia Fu<\/td>\n<\/tr>\n
Health Facility Location in Ethiopia: Leveraging LLMs to Integrate Expert Knowledge into Algorithmic Planning<\/td>Yohai Trabelsi, GUOJUN XIONG, Fentabil Getnet, St\u00c3\u00a9phane Verguet, Milind Tambe<\/td>\n<\/tr>\n
Balancing for Agent Decision Making through Argumentation<\/td>Liuwen Yu, Chenyang Cai, Leon Van der Torre, R\u00c3\u00a9ka Markovich<\/td>\n<\/tr>\n
Influencing LLM Multi-Agent Dialogue via Policy-Parameterized Prompts<\/td>Hongbo Bo, Jingyu Hu, Weiru Liu<\/td>\n<\/tr>\n
Catch Me If You Can: Finding the Source of Infections in Temporal Networks<\/td>Ben Bals, Michelle D\u00c3\u00b6ring, Nicolas Klodt, George Skretas<\/td>\n<\/tr>\n
Utility-based soft masking for continual multi-objective reinforcement learning<\/td>Timon Deschamps, R\u00c3\u00a9my Chaput, Mathieu Guillermin, Laetitia Matignon<\/td>\n<\/tr>\n
Proportional and Pareto-Optimal Allocation of Chores with Subsidy<\/td>Jugal Garg, Eklavya Sharma, Xiaowei Wu<\/td>\n<\/tr>\n
Existence and Computation of Fair Allocations under Constraints<\/td>Siddharth Barman, Ioannis Caragiannis, Sudarshan Shyam<\/td>\n<\/tr>\n
Average Unfairness in Routing Games<\/td>Pan-Yang Su, Arwa Alanqary, Bryce Ferguson, Manxi Wu, Alexandre M Bayen, S. Shankar Sastry<\/td>\n<\/tr>\n
Practical approach to $2$-Euclidean Preferences<\/td>Michal Dvo\u00c5\u2122\u00c3\u00a1k, Jan Pokorn\u00c3\u00bd, Du\u00c5\u00a1an Knop, Martin Sl\u00c3\u00a1vik<\/td>\n<\/tr>\n
Teaching LLMs Naturally: Pedagogical Strategies for Interactive Knowledge Acquisition<\/td>Sabrina Patania, Luca Annese, Cansu Koyuturk, Dimitri Ognibene<\/td>\n<\/tr>\n
Fairness Dynamics in Digital Economy Platforms with Biased Ratings<\/td>J. Martin Smit, Fernando P. Santos<\/td>\n<\/tr>\n
DRAGON: LLM-Driven Decomposition and Reconstruction Agents for Large-Scale Combinatorial Optimization<\/td>Shengkai Chen, Zhiguang Cao, Jianan Zhou, Yaoxin Wu, Senthilnath Jayavelu, Zhuoyi Lin, Xiaoli Li, Shili Xiang<\/td>\n<\/tr>\n
Computing Perfect Bayesian Equilibria, with Application to Empirical Game-Theoretic Analysis<\/td>Christine Konicki, Mithun Chakraborty, Michael P. Wellman<\/td>\n<\/tr>\n
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation<\/td>Patrick Benjamin, Alessandro Abate<\/td>\n<\/tr>\n
Learning the Value Systems of Societies with Preference-based Multi-objective Reinforcement Learning<\/td>Andr\u00c3\u00a9s Holgado-S\u00c3\u00a1nchez, Peter Vamplew, Richard Dazeley, Sascha Ossowski, Holger Billhardt<\/td>\n<\/tr>\n
Why and Whom to Communicate? A Dual-Objective, Cost\u00e2\u20ac\u201cBenefit Framework for Multi-Agent Communication<\/td>Yi-Yu Lin, Jiahao Zhang, Xiao-Jun Zeng<\/td>\n<\/tr>\n
TAAM:Inductive Graph-Class Incremental Learning with Task-Aware Adaptive Modulation<\/td>Jingtao Liu, Xinming Zhang<\/td>\n<\/tr>\n
Rethinking Priority Scheduling for Sequential Multi-Agent Decision Making in Stackelberg Games<\/td>Xiangyu Liu, Liang Zhang, Bo Jin, Ziqi Wei<\/td>\n<\/tr>\n
$\\mu$ACP: A Formal Calculus for Expressive, Resource-Constrained Agent Communication<\/td>Arnab, Indraveni<\/td>\n<\/tr>\n
The Power of Information for Intermediate States in Contract Design<\/td>YiRui Zhang, Zhixuan Fang<\/td>\n<\/tr>\n
IntentCUA: Learning Intent-level Representations for Skill Abstraction and Multi-Agent Planning in Computer-Use Agents<\/td>Seoyoung Lee, Seobin Yoon, Seongbeen Lee, Yoojung Chun, Dayoung Park, Doyeon Kim, Joo Yong Sim<\/td>\n<\/tr>\n
Real-time Cohorting of Nursing Care into Bubbles<\/td>Jeffrey Keithley, Tinh Tran, Lucas Zach-Ryan, D M Hasibul Hasan, Brodie McCuen, Sriram Pemmaraju, Bijaya Adhikari<\/td>\n<\/tr>\n
Towards Generalisable Imitation Learning Through Conditioned Transition Estimation and Online Behaviour Alignment<\/td>Nathan Gavenski, Matteo Leonetti, Odinaldo Rodrigues<\/td>\n<\/tr>\n
CONSENT: A Negotiation Framework for Leveraging User Flexibility in Vehicle-to-Building Charging under Uncertainty<\/td>Rishav Sen, Fangqi Liu, Jose Paolo Talusan, Ava Pettet, Yoshinori Suzue, Mark Bailey, Ayan Mukhopadhyay, Abhishek Dubey<\/td>\n<\/tr>\n
Single-Winner Voting on Matchings<\/td>Niclas Boehmer, Jessica Dierking<\/td>\n<\/tr>\n
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes<\/td>Min Zhang, Hongyao Tang, Jianye HAO, YAN ZHENG<\/td>\n<\/tr>\n
Adjusted Winner: from Splitting to Selling<\/td>Robert Bredereck, Eyal Briman, Bin Sun, Nimrod Talmon<\/td>\n<\/tr>\n
Beyond Scalar Welfare: Enforcing Identity-Aware Equity in Multi-Agent Reinforcement Learning<\/td>Nhat-Hoang P. Nguyen, Thinh Pham, Trung-Hoang Le, sameer alam, Vu N. Duong<\/td>\n<\/tr>\n
A Verification Framework for Obstruction, Probability, and Time<\/td>Wissal DAHANI, Jean Leneutre, Vadim Malvone, James Ortiz, Axel Oscar<\/td>\n<\/tr>\n
General Flexible $f$-divergence for Challenging Offline RL Datasets with Low Stochasticity and Diverse Behavior Policies<\/td>Jianxun Wang, Grant Collier Forbes, Leonardo Villalobos-Arias, David L. Roberts<\/td>\n<\/tr>\n
Boosting Offline MARL under Imbalanced Datasets via Compositional Diffusion Models<\/td>Lihe Li, Shenghe Hu, Bingxuan Lan, Yuqi Bian, Huan ZHang, ZhaoMing, Chongjie Zhang, Lei Yuan, Yang Yu<\/td>\n<\/tr>\n
BeWater: Effective Protesters Navigate Watersheds in Street Networks<\/td>Guillaume Moinard, Matthieu Latapy<\/td>\n<\/tr>\n
Everyone Contributes! Incentivizing Strategic Cooperation in Multi-LLM Systems via Sequential Public Goods Games<\/td>Yunhao Liang, Yuan Qu, Jingyuan Yang, Shaochong Lin, Zuo-Jun Shen<\/td>\n<\/tr>\n
The Complexity of Strategic Behavior in Primary Elections<\/td>Colin Cleveland, Bart De Keijzer, Maria Polukarov<\/td>\n<\/tr>\n
Lifted Forward Planning in Relational Factored Markov Decision Processes with Concurrent Actions<\/td>Florian Andreas Marwitz, Tanya Braun, Ralf M\u00c3\u00b6ller, Marcel Gehrke<\/td>\n<\/tr>\n
Flow-Based Task Assignment for Large-Scale Online Multi-Agent Pickup and Delivery<\/td>Yue Zhang, Zhe Chen, Daniel Harabor, Pierre Le Bodic, Peter J. Stuckey<\/td>\n<\/tr>\n
Rejecting Arguments Based on Doubt in Structured Bipolar Argumentation<\/td>Michael A. M\u00c3\u00bcller, Srdjan Vesic, Bruno Yun<\/td>\n<\/tr>\n
Extremely Large Collective Coalition Formation: Scalability<\/td>Neha G. Pusalkar, Julie A. Adams<\/td>\n<\/tr>\n
Metric Distortion in Peer Selection<\/td>Javier Cembrano, Golnoosh Shahkarami<\/td>\n<\/tr>\n
PortfoliQA: An Agentic RAG Framework for Knowledge Graph Question Answering via Structured Evidence Portfolios<\/td>Weina Zhang, Junsheng Huang, Zhongqin Bi, Dan Dai<\/td>\n<\/tr>\n
Efficiently Computing Equilibria in Budget-Aggregation Games<\/td>Patrick Becker, Alexander Fries, Matthias Greger, Erel Segal-Halevi<\/td>\n<\/tr>\n
Temporal Panel Selection in Ongoing Citizens\u00e2\u20ac\u2122 Assemblies<\/td>Yusuf Hakan Kalayci, Evi Micha<\/td>\n<\/tr>\n
Imperfect-Information Games on Quantum Computers: A Case Study in Skat<\/td>Ulrich Armbr\u00c3\u00bcster, Stefan Edelkamp, Gabriel Maresch, Erik Schulze<\/td>\n<\/tr>\n
Teaching an Old Dynamics New Tricks: Regularization-free Last-iterate Convergence in Zero-sum Games via BNN Dynamics<\/td>Tuo Zhang, Leonardo Stella<\/td>\n<\/tr>\n
HyperAgent: Leveraging Hypergraphs for Topology Optimization in Multi-Agent Communication<\/td>Heng Zhang, Yuling Shi, Xiaodong Gu, Zijian Zhang, Haochen You, Lubin Gan, Yilei Yuan, Jin Huang<\/td>\n<\/tr>\n
MA-SafeDiffuser: Safe Multi-Agent Planning with Diffusion Probabilistic Models<\/td>Kiran Ravish, Ankita Kushwaha, Preeti, Pawan Kumar<\/td>\n<\/tr>\n
Disobedience in normative multi-agent systems<\/td>Marija Slavkovik, Liuwen Yu, Leon Van der Torre, R\u00c3\u00a9ka Markovich, Beishui Liao<\/td>\n<\/tr>\n
Finite-State Controllers for (Hidden-Model) POMDPs using Deep Reinforcement Learning<\/td>David Hud\u00c3\u00a1k, Maris F. L. Galesloot, Martin Tappler, Martin Kure\u00c4\u008dka, Nils Jansen, Milan Ceska<\/td>\n<\/tr>\n
VLM-ReG : Vision-Language Models Enhanced via Reward-Refined GRPO in Remote Sensing Reasoning<\/td>Yanzhong Zhou, Biaoxin Li, Zhangling Wang, Chao Wang, Wanpeng Zhang<\/td>\n<\/tr>\n
Learning Truthful Mechanisms without Discretization<\/td>Yunxuan Ma, Steven Wang, Zhijian Duan, Yukun Cheng, Xiaotie Deng<\/td>\n<\/tr>\n
Conformal Reachability for Safe Control in Unknown Environments<\/td>Xinhang Ma, Junlin Wu, Yiannis Kantaros, Yevgeniy Vorobeychik<\/td>\n<\/tr>\n
Perception-Based Beliefs for POMDPs with Visual Observations<\/td>Miriam Sch\u00c3\u00a4fers, Merlijn Krale, Thiago D. Sim\u00c3\u00a3o, Nils Jansen, Maximilian Weininger<\/td>\n<\/tr>\n
A Multi-Robot Architecture for Continuous Planning and Execution using BDI Agents<\/td>Carlos Joel Tavares da Silva, Rafael Melo Santos, Rafael C. Cardoso, C\u00c3\u00a9lia Ghedini Ralha<\/td>\n<\/tr>\n
A Semi-Decentralized Approach to Multiagent Control<\/td>Mahdi Al-Husseini, Mykel Kochenderfer, Kyle Hollins Wray<\/td>\n<\/tr>\n
VEsNA-Pro: Exploiting BDI Agents with Propensities for Emergent Narrative<\/td>Andrea Gatti, Fabio Casale, Viviana Mascardi, Andrea Stucchi, Angelo Ferrando<\/td>\n<\/tr>\n
Solving Repeated Games with Large Language Model<\/td>Naming Liu, Youzhi Zhang, Ying Wen<\/td>\n<\/tr>\n
Information Contagion in Climate-Stressed SME Networks: An Agent-Based Simulation Study<\/td>\u00c4\u0090o\u00c3\u00a0n Minh L\u00c6\u00b0\u00e1\u00bb\u00a3ng, Nguyen Tu Uyen, Duong Thi Phuong Thao, Duong Thu Ngan, Phong Ho, Nhung Duong, Tuan Do<\/td>\n<\/tr>\n
VGC-Bench: Towards Mastering Diverse Team Strategies in Competitive Pok\u00c3\u00a9mon<\/td>Cameron L. Angliss, Jiaxun Cui, Jiaheng Hu, Arrasy Rahman, Peter Stone<\/td>\n<\/tr>\n
Active Evaluation of General Agents: Problem Definition and Comparison of Baseline Algorithms<\/td>Marc Lanctot, Kate Larson, Ian Gemp, Michael Kaisers<\/td>\n<\/tr>\n
Optimizing Pool Testing for Epidemic Surveillance<\/td>Jack Heavey, Abhijin Adiga, Anil Vullikanti<\/td>\n<\/tr>\n
Transparent and Accessible ABMs with FODD: Automatic Code from Formal ODD<\/td>Themis Dimitra Xanthopoulou, Andreas Prinz, Haakon B\u00c3\u00b8thun Lunde, Ivan Puga-Gonzalez, F. LeRon Shults<\/td>\n<\/tr>\n
First-Order and Second-Order Model Counting Meet Stable Marriages, Stable Roommates, and Stable Diners<\/td>V\u00c3\u00a1clav K\u00c5\u00afla, Jan T\u00c3\u00b3th, Yuanhong Wang, Yuyi Wang, Ondrej Kuzelka<\/td>\n<\/tr>\n
Stable Matching: Dealing with Changes in Preferences<\/td>Rohith Reddy Gangam, Tung Mai, Nitya Raju, Vijay Vazirani<\/td>\n<\/tr>\n
RocqStar: Leveraging Similarity-driven Retrieval and Agentic Systems for Rocq generation<\/td>Andrei Kozyrev, Nikita Khramov, Gleb Solovev, Anton Podkopaev<\/td>\n<\/tr>\n
MARLIN: LLM-Guided Multi-Agent Reinforcement Learning with Murmuration Intelligence for Reservoir Management<\/td>Heming Fu, Shan Lin, GUOJUN XIONG<\/td>\n<\/tr>\n
Control in Hedonic Games<\/td>Jiehua Chen, Jakob Guttmann, Merisa Mustajba\u00c5\u00a1i\u00c4\u2021, Sofia Simola<\/td>\n<\/tr>\n
Advancing Multi-Agent RAG system with Minimalist Reinforcement Learning<\/td>Yihong Wu, Liheng Ma, Muzhi Li, Jiaming Zhou, Lei Ding, Jianye HAO, Ho-fung Leung, Irwin King, Yingxue Zhang, Jian-Yun Nie<\/td>\n<\/tr>\n
CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning<\/td>Jiaxun Cui, Chen Tang, Jarrett Holtz, Janice Nguyen, Alessandro G Allievi, Hang Qiu, Peter Stone<\/td>\n<\/tr>\n
The Role of Social Learning and Collective Norm Formation in Fostering Cooperation in LLM Multi-Agent Systems<\/td>Prateek Gupta, Qiankun Zhong, Hiromu Yakura, Thomas F. Eisenmann, Iyad Rahwan<\/td>\n<\/tr>\n
Population synthesis with geographic coordinates<\/td>Jacopo Lenti, Lorenzo Costantini, Ariadna Fosch, Anna Monticelli, David Scala, Marco Pangallo<\/td>\n<\/tr>\n
Interbank Lending Games<\/td>Jinyun Tong, Bart De Keijzer, Haoxiang Wang, Carmine Ventre<\/td>\n<\/tr>\n
A Novel Framework for Uncertainty-Driven Adaptive Exploration<\/td>Leonidas Bakopoulos, Georgios Chalkiadakis<\/td>\n<\/tr>\n
Diverse Mini-Batch Selection in Reinforcement Learning for Efficient Chemical Exploration in de novo Drug Design<\/td>Hampus Gummesson Svensson, Ola Engkvist, Jon Paul Janet, Christian Tyrchan, Morteza Haghir Chehreghani<\/td>\n<\/tr>\n
QDepth-VLA: Quantized Depth Prediction as Auxiliary Supervision for Vision\u00e2\u20ac\u201cLanguage\u00e2\u20ac\u201cAction Models<\/td>Yixuan Li, YUHUI CHEN, Mingcai.Zhou, Haoran Li<\/td>\n<\/tr>\n
MeCo: Enhancing LLM-Empowered Multi-Robot Collaboration via Similar Task Memoization<\/td>Baiqing Wang, Helei Cui, Bo Zhang, Xiaolong Zheng, Bin Guo, Zhiwen Yu<\/td>\n<\/tr>\n
CRAwDAD: Causal Reasoning Augmentation with Dual-Agent Debate<\/td>Finn G. Vamosi, Nils Forkert<\/td>\n<\/tr>\n
Mechanism Design for Efficient Task Allocation<\/td>Zifan Gong, Minming Li, Houyu Zhou<\/td>\n<\/tr>\n
Beyond Self-Interest: Modeling Social-Oriented Motivation for Human-like Multi-Agent Interactions<\/td>Jingzhe Lin, Ceyao Zhang, Yaodong Yang, Yizhou Wang, Song-Chun Zhu, Fangwei Zhong<\/td>\n<\/tr>\n
Learning Robust Markov Models for Safe Runtime Monitoring<\/td>Antonina Skurka, Luko van der Maas, Sebastian Junges, Hazem Torfah<\/td>\n<\/tr>\n
Multi-Agent Cooperative Transportation: Optimal and Efficient Task Allocation and Path Finding<\/td>Ning Zhou, Nikolai W.F. Bode, Edmund R Hunt<\/td>\n<\/tr>\n
ME-IGM: Individual-Global-Max in Maximum Entropy Multi-Agent Reinforcement Learning<\/td>Wentse Chen, Yuxuan Li, Shiyu Huang, Jiayu Chen, Jeff Schneider<\/td>\n<\/tr>\n
EmoDebt: Bayesian-Optimized Emotional Intelligence for Strategic Agent-to-Agent Debt Recovery<\/td>Yunbo Long, Yuhan Liu, Liming Xu, Alexandra Brintrup<\/td>\n<\/tr>\n
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning<\/td>Woojun Kim, Katia P. Sycara<\/td>\n<\/tr>\n
Probing Dec-POMDP Reasoning in Cooperative MARL<\/td>Kale-ab Tessera, Leonard Hinckeldey, Riccardo Zamboni, David Abel, Amos Storkey<\/td>\n<\/tr>\n
Peach: Program Each Agent and Communicate Howsoever<\/td>Amit K. Chopra, Samuel H. Christie V, Munindar P. Singh<\/td>\n<\/tr>\n
The Triad of Identity, Trust and Responsibility in Multi-Agent Systems<\/td>Jayati Deshmukh, Vahid Yazdanpanah, Sebastian Stein, Sarvapali D Ramchurn<\/td>\n<\/tr>\n
Offline Multi-Agent Reinforcement Learning with Global Moderate Generalization<\/td>Yuanrui Duan, Wengang Zhou, Yufeng Shi, Xiancheng Gao, Lin Liu, Houqiang Li<\/td>\n<\/tr>\n
Reasoning About Responsibility for Taking Risks<\/td>Maksim Gladyshev, Natasha Alechina, Mehdi Dastani, Dragan Doder<\/td>\n<\/tr>\n
ATL*AS: An Automata-Theoretic Approach and Tool for the Verification of Strategic Abilities in Multi-Agent Systems<\/td>Sofia Garcia de Blas Garcia-Alcaide, Francesco Belardinelli<\/td>\n<\/tr>\n
Complexity of (Non-)Convergence in Iterative Voting<\/td>Paul W. Goldberg, Marios Mavronicolas, Tomasz W\u0105s<\/td>\n<\/tr>\n
Interpretable Failure Analysis in Multi-Agent Reinforcement Learning Systems<\/td>Risal Shahriar Shefin, Debashis Gupta, Thai Le, Sarra Alqahtani<\/td>\n<\/tr>\n
Learning Bayesian Game Families, with Application to Mechanism Design<\/td>Madelyn Gatchel, Michael P. Wellman<\/td>\n<\/tr>\n
Bandwidth-constrained Variational Message Encoding for Cooperative Multi-agent Reinforcement Learning<\/td>Wei Duan, Jie Lu, En Yu, Junyu Xuan<\/td>\n<\/tr>\n
My Body, My Perceptions: A Shift from Computationalism to Embodied Cognition in BDI-agent-based Embedded Systems<\/td>Nilson Lazarin, Carlos Eduardo Pantoja, Jose Viterbo<\/td>\n<\/tr>\n
AC-MASAC: An Attentive Curriculum Learning Framework for Heterogeneous UAV Swarm Coordination<\/td>Wanhao Liu, Junhong Dai, Yixuan Zhang, Shengyun Yin, Panshuo Li<\/td>\n<\/tr>\n
Can Vibe Coding Beat Graduate CS Students? An LLM vs. Human Coding Tournament on Market-driven Strategic Planning<\/td>Panayiotis Danassis, Naman Goel<\/td>\n<\/tr>\n
Learning from Delay Distributions: A New Representation for Delay-Aware Reinforcement Learning<\/td>Zhuoru Yu, Chenchen Fu, Hengkai Zhong, Wanyuan Wang, Weiwei Wu, Chun Jason Xue<\/td>\n<\/tr>\n
Epistemic Modal Logic Meets Algebraic Model Counting<\/td>Daxin Liu, Vaishak Belle<\/td>\n<\/tr>\n
Unifying Model-Free Efficiency and Model-Based Representations via Latent Dynamics<\/td>Jashaswimalya Acharjee, Balaraman Ravindran<\/td>\n<\/tr>\n
Heterogeneous RBCs via deep multi-agent reinforcement learning<\/td>Federico Gabriele, Aldo Glielmo, Marco Taboga<\/td>\n<\/tr>\n
Beyond Neighbor Influence: A Behavior-Driven Agent-Based Model of Silence<\/td>Ziqian Shi, Rosa M Benito<\/td>\n<\/tr>\n
Exploring Relations among Fairness Notions in Discrete Fair Division<\/td>Jugal Garg, Eklavya Sharma<\/td>\n<\/tr>\n
When is Offline Policy Selection Sample Efficient for Reinforcement Learning?<\/td>Vincent Liu, Prabhat Nagarajan, Andrew Patterson, Martha White<\/td>\n<\/tr>\n
TEACH: Temporal Variance-Driven Curriculum for Reinforcement Learning<\/td>Gaurav Chaudhary, Laxmidhar Behera<\/td>\n<\/tr>\n
Identifying the Source of Information Spread in Networks via Markov Chains<\/td>Yael Sabato, Amos Azaria, Noam Hazon<\/td>\n<\/tr>\n
Heartbeat Synchronization in Large Multi-Agent Systems Using One-Way Communication<\/td>Federico Bergenti, Simone Dallospedale, Stefania Monica<\/td>\n<\/tr>\n
A Unified Framework for Analyzing Meta-algorithms in Online Convex Optimization<\/td>Mohammad Pedramfar, Vaneet Aggarwal<\/td>\n<\/tr>\n
Generating Fair Consensus Statements with Social Choice on Token-Level MDPs<\/td>Carter Blair, Kate Larson<\/td>\n<\/tr>\n
Fairness over Equality: Correcting Social Incentives in Asymmetric Sequential Social Dilemmas<\/td>Alper Demir, H\u00c3\u00bcseyin Ayd\u00c4\u00b1n, Kale-ab Tessera, David Abel, Stefano V. Albrecht<\/td>\n<\/tr>\n
LLMEvalRec: An Agentic Framework for Simulating Users to Evaluate News Recommendation Systems<\/td>Yao Ma, Abhishek Tripathi, Samuel Louvan, Wei Liu, Murat Sensoy<\/td>\n<\/tr>\n
HLSMAC: A New StarCraft Multi-Agent Challenge for High-Level Strategic Decision-Making<\/td>Xingxing Hong, Yungong Wang, Dexin Jin, Ye Yuan, Ximing Huang, Zijian Wu, Yirui Rao, Wenxin Li<\/td>\n<\/tr>\n
A Three-Layer Reinforcement Learning-based Approach for Dynamic Task Allocation Under Multiple Task Resource Constraints<\/td>Shuo Wang, Yuzhen Zhang, Hao Su, Yazhou Hu, Pei Lv<\/td>\n<\/tr>\n
Project Submission Games in Participatory Budgeting<\/td>Piotr Faliszewski, \u00c5\u0081ukasz Janeczko, Andrzej Kaczmarczyk, Grzegorz Lisowski, Grzegorz Pierczy\u00c5\u201eski<\/td>\n<\/tr>\n
Eliminating Inconsistencies among CP-Theory Qualitative Preferences<\/td>Erik Rauer, Samik Basu, Vasant G. Honavar, Jia Tao<\/td>\n<\/tr>\n
EG-RAG: Retrieval-Augmented Generation with Evidence Graph for Reliable Multi-Document Reasoning<\/td>Seunggwan Hong, Junhyung Moon, Eunkyeong Lee, Jaehyoung Park, Hyunseung Choo<\/td>\n<\/tr>\n
Quality-Diversity for Multi-Agent Reinforcement Learning<\/td>Hao Chen, Pengyi Li, Bin Zhang, Hu Fu, Zhiwei Xu, Ce Zhang, Xinyue Lu, Guoliang Fan<\/td>\n<\/tr>\n
UNCAP: Uncertainty-Guided Neurosymbolic Planning Using Natural Language Communication for Cooperative Autonomous Vehicles<\/td>Neel P. Bhatt, Po-han Li, Kushagra Gupta, Rohan Siva, Daniel Milan, Alexander Todd Hogue, Sandeep P. Chinchali, David Fridovich-Keil, Zhangyang Wang, ufuk topcu<\/td>\n<\/tr>\n
Modeling Human Behavior in a Strategic Network Game With Complex Group Dynamics<\/td>Jonathan Berry Skaggs, Jacob Crandall<\/td>\n<\/tr>\n
Strength Change Explanations in Quantitative Argumentation<\/td>Timotheus Kampik, Xiang Yin, Nico Potyka, Francesca Toni<\/td>\n<\/tr>\n
Modelling Customer Trajectories with Reinforcement Learning for Practical Retail Insights<\/td>Ken Ming Lee, Paul Barde, Maxime C. Cohen, Derek Nowrouzezahrai<\/td>\n<\/tr>\n
Online Sensor Grouping via Multi-Agent Learning Automata: An Ising Model Perspective<\/td>Anis Yazidi, Marco Antonio Pinto-Orellana, Youcef Djenouri<\/td>\n<\/tr>\n
Multi UAVs Preflight Planning in a Shared and Dynamic Airspace<\/td>Amath SOW, Mauricio Rodriguez Cesen, Fab\u00c3\u00adola Martins Campos de Oliveira, Mariusz Wzorek, Daniel de Leng, Mattias Tiger, Fredrik Heintz, Christian Esteve Rothenberg<\/td>\n<\/tr>\n
Feasible Constraint Policy Optimization for Safe Reinforcement Learning<\/td>Luoyang Sun, Jiwen Jiang, Ning Yang, Rasul Tutunov, Haifeng Zhang, Jun Wang<\/td>\n<\/tr>\n
Inference of Altruism and Intrinsic Rewards in Multi-Agent Systems<\/td>Victor Villin, Christos Dimitrakakis<\/td>\n<\/tr>\n
The Multi-Agent Off-Switch Game<\/td>Akash Agrawal, Soroush Ebadian, Lewis Hammond<\/td>\n<\/tr>\n
Fluid-Agent Reinforcement Learning<\/td>Shishir Sharma, Doina Precup, Theodore Perkins<\/td>\n<\/tr>\n
Confounding Robust Continuous Control via Automatic Reward Shaping<\/td>Mateo Juliani, Mingxuan Li, Elias Bareinboim<\/td>\n<\/tr>\n
Functional Multi-armed Bandit and the Best Function Identification Problems<\/td>Yuriy Dorn, Aleksandr Katrutsa, Ilgam Latypov, Anastasiia Soboleva<\/td>\n<\/tr>\n
Cleaner Adversarial CAPTCHAs: Intelligent Targets and Precise Noise for Usable Security<\/td>Meir Litman, Chen Hajaj<\/td>\n<\/tr>\n
Translating Latent State World Model Representations into Natural Language<\/td>Matthew Barker, Matteo Leonetti<\/td>\n<\/tr>\n
Online Fair Division With Subsidy: When Do Envy-Free Allocations Exist, and at What Cost?<\/td>Pooja Ravi Kulkarni, Ruta Mehta, Vishnu V. Narayan, Tomasz Ponitka<\/td>\n<\/tr>\n
Towards Foresighted AI Cooperators with LLM-driven Decision-Time Planning<\/td>Yuheng Jing, Kai Li, Bingyun Liu, Ziwen Zhang, Zhe Wu, Yifan Zhang, Junliang Xing, Jian Cheng<\/td>\n<\/tr>\n
Greedy Routing Reachability Games<\/td>Pascal Lenzner, Paraskevi Machaira<\/td>\n<\/tr>\n
Robust Information Design for Multi-Agent Systems with Complementarities: Smallest-Equilibrium Threshold Policies<\/td>Farzaneh Farhadi, Maria Chli<\/td>\n<\/tr>\n
A General Incentives-Based Framework for Fairness in Multi-agent Resource Allocation<\/td>Ashwin Kumar, William Yeoh<\/td>\n<\/tr>\n
Don\u00e2\u20ac\u2122t Blind Your VLA: Aligning Visual Representations for OOD Generalization<\/td>Nikita Kachaev, Mikhail Kolosov, Daniil Zelezetsky, Alexey Kovalev, Aleksandr Panov<\/td>\n<\/tr>\n
Scalable Knothe--Rosenblatt-like Heuristic Transportation Plans for Imaging Problems<\/td>Gennaro Auricchio, Min Lin, Lingxuan Zhou, Zhaori Guo, zhongqi cai<\/td>\n<\/tr>\n
Adaptive Agents in Spatial Double-Auction Markets: Modeling the Emergence of Industrial Symbiosis<\/td>Matthieu Mastio, Benoit Gaudou, Paul Saves, Nicolas Verstaevel<\/td>\n<\/tr>\n
Multi-Agent Pickup and Delivery with Heterogeneous Agents<\/td>Benedetta Flammini, Francesco Amigoni, Bruno Lacerda<\/td>\n<\/tr>\n
Calibrated LRT Guidance for Offline Diffusion Policies<\/td>Ximan Sun, Xiang Cheng<\/td>\n<\/tr>\n
A Generic Framework for Fair Consensus Clustering in Streams<\/td>Diptarka Chakraborty, Kushagra Chatterjee, Debarati Das, Tien-Long Nguyen<\/td>\n<\/tr>\n
Fairness in Cooperative Multi-objective Multi-agent Reinforcement Learning using Expected Utility<\/td>Fares Chouaki, Aur\u00c3\u00a9lie Beynier, Nicolas Maudet, Paolo Viappiani<\/td>\n<\/tr>\n
Kidney Exchange: Faster Parameterized Algorithms and Tighter Lower Bounds<\/td>Palash Dey, Aritra Banik, Abhishek Sahu, Sujoy Bhore<\/td>\n<\/tr>\n
CentaurMD: Confidence-Aware Human\u00e2\u20ac\u201cAI Decision Fusion for Multi-Label Disease Diagnosis via Label-Specific MoE<\/td>Youcheng Zhang, Hui Wang, Jiaqi Liu, Yao Zhang, Zhiwen Yu, Bin Guo<\/td>\n<\/tr>\n
MEASE: Multi-agent Episodic Action Sequence Explanation<\/td>Khaing Phyo Wai, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan<\/td>\n<\/tr>\n
Neuro-symbolic Action Masking for Deep Reinforcement Learning<\/td>Shuai Han, Mehdi Dastani, Shihan Wang<\/td>\n<\/tr>\n
LLM-augmented empirical game theoretic simulation for socio-ecological systems<\/td>Jennifer Shi, Christopher K. Frantz, Christian Kimmich, Saba Siddiki, Atrisha Sarkar<\/td>\n<\/tr>\n
Solving Qualitative Multi-Objective Stochastic Games<\/td>Moritz Graf, Anthony Widjaja Lin, R Majumdar<\/td>\n<\/tr>\n
MENSA: Leveraging Mental Simulation for In-Context Policy Improvement in LLM Agents<\/td>Chung-Che Chang, Erick Chandra, Jane Yung-jen Hsu, Yen-Ling Kuo<\/td>\n<\/tr>\n
Truthful Reporting of Competence with Minimal Verification<\/td>Reshef Meir, Jonathan Wagner, Omer Ben-Porat<\/td>\n<\/tr>\n
Robust Sequential Learning in Random Order Networks<\/td>William Guo, Edward Xiong, Jie Gao<\/td>\n<\/tr>\n
Delayed Assignments in Online Non-Centroid Clustering with Stochastic Arrivals<\/td>Saar Cohen<\/td>\n<\/tr>\n
TriBand-BEV: Real-Time LiDAR-Only 3D Pedestrian Detection via Height-Aware BEV and High-Resolution Feature Fusion<\/td>Mohammad Khoshkdahan, Alexey Vinel<\/td>\n<\/tr>\n
A Radius-Sensitive Approximation Algorithm for Connected Submodular Maximization<\/td>Philip Cervenjak, Junhao Gan, Naonori Kakimura, Seeun William Umboh, Anthony Wirth<\/td>\n<\/tr>\n
Dynamic Action Space Reinforcement Learning for Optimal Trading Execution<\/td>Pangjing Wu, Xiaodong Li<\/td>\n<\/tr>\n
Multi-Objective Categorical Deep Q-Networks<\/td>Fares Chouaki, Aur\u00c3\u00a9lie Beynier, Nicolas Maudet, Paolo Viappiani<\/td>\n<\/tr>\n
Peer-Aware Cost Estimation in Nonlinear General-Sum Dynamic Games for Mutual Learning and Intent Inference<\/td>Seyed Yousef Soltanian, Wenlong Zhang<\/td>\n<\/tr>\n
Risk-aware Flow Tuning for Collective Emotion in Social Media via Multi-agent RL<\/td>Ruyi Wang, R L Hill, J. Michael Herrmann<\/td>\n<\/tr>\n
Wallet ATL: Towards Reliable Smart Contract Verification<\/td>Angelo Ferrando, Blondelle Kana Zanlefack, Vadim Malvone<\/td>\n<\/tr>\n
Planning Ahead with RSA: Efficient Signalling in Dynamic Environments by Projecting User Awareness across Future Timesteps<\/td>Anwesha Das, John Duff, J\u00c3\u00b6rg Hoffmann, Vera Demberg<\/td>\n<\/tr>\n
STO-RL: OFFLINE RL UNDER SPARSE REWARDS VIA LLM-GUIDED SUBGOAL TEMPORAL ORDER<\/td>Chengyang GU, Yuxin Pan, Hui Xiong, Yize Chen<\/td>\n<\/tr>\n
Puzzle it Out: Local-to-Global World Model for Offline Multi-Agent Reinforcement Learning<\/td>Sijia Li, Xinran Li, Shibo Chen, Jun Zhang<\/td>\n<\/tr>\n
The Agency Circuit: A Neuro-Symbolic Solution for Mitigating Policy Collapse in Reinforcement Learning<\/td>Mahnoor Shahid<\/td>\n<\/tr>\n
Utility Aware Adaptive Privacy Budget Allocation for Streaming Multi-Agent Systems<\/td>Puspanjali Ghoshal, Ashok Singh Sairam<\/td>\n<\/tr>\n
Universal Solvability for Robot Motion Planning on Graphs<\/td>Anubhav Dhar, Pranav Nyati, Tanishq Prasad, Ashlesha Hota, Sudeshna Kolay<\/td>\n<\/tr>\n
Modifying Preferences and Capacities for Stability in Flow Networks: Algorithms and Complexity<\/td>Gergely Cs\u00c3\u00a1ji, Kitti Varga<\/td>\n<\/tr>\n
Human-Inspired Context-Selective Multimodal Memory for Social Robots<\/td>Hangyeol Kang, Slava Voloshynovskiy, Nadia Thalmann<\/td>\n<\/tr>\n
A Hierarchical Approach with Crisis Mitigation for Multi-Robot Spatio-Temporal Restoration<\/td>Amel Nestor Docena, Alberto Quattrini Li<\/td>\n<\/tr>\n
From User Preferences to Base Score Extraction Functions in Gradual Argumentation<\/td>Aniol Civit, Antonio Rago, Antonio Andriella, Guillem Aleny\u00c3, Francesca Toni<\/td>\n<\/tr>\n
Modeling and Optimizing the Provisioning of Exhaustible Capabilities for Simultaneous Task Allocation and Scheduling<\/td>Jinwoo Park, Harish Ravichandar, Seth Hutchinson<\/td>\n<\/tr>\n
End-to-End Decision-Focused Prediction in Dynamic Bike-Sharing Rebalancing<\/td>Pengbo Fu, Chongyang Wan, Yuan Luo<\/td>\n<\/tr>\n
EFX Allocations Exist on Triangle-Free Multi-Graphs<\/td>Mahyar Afshinmehr, Arash Ashuri, Pouria Mahmoudkhan, Kurt Mehlhorn<\/td>\n<\/tr>\n
Wisdom of the Machines: Exploring Collective Intelligence in LLM Crowds<\/td>Yashar Talebirad, Ali Parsaee, Vishwajeet Ohal, Amirhossein Nadiri, Csongor Szepesvari, Yash Mouje, Eden Redman<\/td>\n<\/tr>\n
Majoritarian Assignment Rules<\/td>Felix Brandt, Haoyuan Chen, Chris Dong, Patrick Lederer, Alexander Schlenga<\/td>\n<\/tr>\n
Modeling Dynamics under Random Delays in Reinforcement Learning<\/td>Bokai Ji, Guangxia Li, Yulong Shen<\/td>\n<\/tr>\n
Synthesis and Evaluation of Long-term History-aware Medical Dialogue<\/td>Hebin Hu, Renke Dai, Ah-Hwee Tan, Yilin Kang<\/td>\n<\/tr>\n
Stigmergic Swarming Agents for Fast Subgraph Isomorphism<\/td>H. Van Dyke Parunak<\/td>\n<\/tr>\n
Ratio-Based Signaling for Source-Victim Separation in Swarm Fault Detection<\/td>Longyin Cui<\/td>\n<\/tr>\n
From Actions to Words: Towards Abstractive-Textual Policy Summarization in RL<\/td>Sahar Admoni, Assaf Hallak, Yftah Ziser, Omer Ben-Porat, Ofra Amir<\/td>\n<\/tr>\n
Contrastive explanations of BDI agents<\/td>Michael Winikoff<\/td>\n<\/tr>\n
IMAS$^2$: Joint Agent Selection and Information-Theoretic Coordinated Perception In Dec-POMDPs<\/td>Chongyang Shi, Wesley A. Suttle, Michael Dorothy, Jie Fu<\/td>\n<\/tr>\n
Scaling Multi-Agent Epistemic Planning through GNN-Derived Heuristics<\/td>Giovanni Briglia, Francesco Fabiano, Stefano Mariani<\/td>\n<\/tr>\n
ReGMS: Retrieval\u00e2\u20ac\u2018Grounded Multi\u00e2\u20ac\u2018Agent Scenario Analysis for Climate Risk<\/td>Yun Wing Kiang, King Hang LAM<\/td>\n<\/tr>\n
Coherent belief and opinion propagation produces more echo chambers<\/td>Hiro Kataoka, J\u00c3\u00a9r\u00c3\u00b4me Euzenat, Koji Hasebe<\/td>\n<\/tr>\n
Algorithmic Collusion at Test Time: A Meta-game Design and Evaluation<\/td>Yuhong Luo, Daniel Schoepflin, Xintong Wang<\/td>\n<\/tr>\n
RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning<\/td>Jinrui Liu, Bingyan Nie, Boyu Li, Yaran Chen, Yuze Wang, Shunsen He, Haoran Li<\/td>\n<\/tr>\n
SAT: Sequential Agent Tuning for Coordinator\u00e2\u20ac\u2018Free Plug\u00e2\u20ac\u2018and\u00e2\u20ac\u2018Play Multi\u00e2\u20ac\u2018LLM Training with Monotonic Improvement Guarantees<\/td>Yi Xie, Yangyang Xu, Yi Fan, Bo Liu<\/td>\n<\/tr>\n
Flexibility-Based Traffic Flow Optimisation in Lifelong Multi-Agent Path Finding<\/td>Peiqian Lin, Zhe Chen, David L. Dowe, Daniel Harabor<\/td>\n<\/tr>\n
Axiomatic Foundations of Counterfactual Explanations<\/td>Leila Amgoud, Martin C. Cooper<\/td>\n<\/tr>\n
The Reachability Objective in Multi-Agent Path Finding<\/td>Noy Gabay, Jonathan Morag, Ariel Felner, Roni Stern<\/td>\n<\/tr>\n
Approximating Nash Equilibria in General-Sum Games via Meta-Learning<\/td>David Sychrovsk\u00c3\u00bd, Christopher Solinas, Revan MacQueen, Kevin A. Wang, James R. Wright, Nathan R. Sturtevant, Michael Bowling<\/td>\n<\/tr>\n
Heterogeneity in Multi-Agent Reinforcement Learning<\/td>Tianyi Hu, Zhiqiang Pu, Yuan Wang, Tenghai Qiu, Min Chen, Xin Yu<\/td>\n<\/tr>\n
Towards Failure-Resilient Lifelong Learning Agents through Scene Graph-Guided Proactive Replanning<\/td>Che Rin Yu, Daewon Chae, Dabin Seo, Sangwon Lee, Hyeongwoo IM, Jinkyu Kim<\/td>\n<\/tr>\n
PREFINE: Preference-based Implicit Reward and Cost Fine-tuning for Safety Alignment<\/td>Richa Verma, Bavish Kulur, Sanjay Chawla, Balaraman Ravindran<\/td>\n<\/tr>\n
Equitable Core Imputations for Max-Flow, MST and $b$-Matching Games<\/td>Rohith Reddy Gangam, Naveen Garg, Parnian Shahkar, Vijay Vazirani<\/td>\n<\/tr>\n
Enhancing Goal Inference via Correction Timing<\/td>Anjiabei Wang, Shuangge Wang, Tesca Fitzgerald<\/td>\n<\/tr>\n
Robust Value Maximization in Challenge the Champ Tournaments with Probabilistic Outcomes<\/td>Umang Bhaskar, Juhi Chaudhary, Sushmita Gupta, Pallavi Jain, Sanjay Seetharaman<\/td>\n<\/tr>\n
Maximin Shares with Lower Quotas<\/td>Hirota Kinoshita, Ayumi Igarashi<\/td>\n<\/tr>\n
Multiagent System for Dynamic Multicriteria Traffic Routing in Urban Environments<\/td>Temirlan Kurbanov, Ad\u00c3\u00a9la Kub\u00c3\u00adkov\u00c3\u00a1, Jiri Vokrinek, Franziska Kl\u00c3\u00bcgl<\/td>\n<\/tr>\n
Byzantine Fault Tolerance in Distributed Constraint Optimization Problems<\/td>Koji Noshiro, Koji Hasebe<\/td>\n<\/tr>\n
Smooth Routing in Decaying Trees<\/td>Till Fluschnik, Amela Pucic, Malte Renken<\/td>\n<\/tr>\n
Online Learning of Numeric Action Models for Planning<\/td>Argaman Mordoch, Yarin Benyamin, Shahaf S. Shperberg, Brendan Juba, Roni Stern<\/td>\n<\/tr>\n
A Survey Of Reinforcement Learning For Autonomous Air Combat: Current Progresses And Limitations<\/td>Alex Pierron, Thibault Lahire<\/td>\n<\/tr>\n
Retrieval and Argumentation Enhanced Multi-Agent LLMs for Judgmental Forecasting<\/td>Deniz Gorur, Antonio Rago, Francesca Toni<\/td>\n<\/tr>\n
Fair Coordination in Strategic Scheduling<\/td>Wei-Chen Lee, Martin Bullinger, Alessandro Abate, Michael J. Wooldridge<\/td>\n<\/tr>\n
Automatically Benchmarking LLM Code Agents through Agent-driven Annotation and Evaluation<\/td>Lingyue Fu, Bolun Zhang, Hao Guan, Yaoming Zhu, Lin Qiu, Weiwen Liu, Xuezhi Cao, Xunliang Cai, Weinan Zhang, Yong Yu<\/td>\n<\/tr>\n
GroupDebate: Enhancing the Efficiency of Multi-Agent Debate Using Group Discussion<\/td>Tongxuan Liu, Xingyu Wang, Weizhe Huang, Wenjiang Xu, Yuting Zeng, Lei Jiang, Hailong Yang, Jing Li<\/td>\n<\/tr>\n
PIQL: Projective Implicit Q-Learning with Support Constraint for Offline Reinforcement Learning<\/td>Xinchen Han, Hossam Afifi, Michel Marot<\/td>\n<\/tr>\n
Assessing VLM-Driven Semantic-Affordance Inference for Non-Humanoid Robot Morphologies<\/td>Rob Jones, Sabine Hauert, Raul Santos-Rodriguez<\/td>\n<\/tr>\n
Multi-Agent Decision S4: Leveraging State Space Models for Offline Multi-Agent Reinforcement Learning<\/td>Ashmita Bhattacharya, Malyaban Bal<\/td>\n<\/tr>\n
Learning Robust Policy for Multi-UAV Collision Avoidance via Compact Causal Feature<\/td>Zhun Fan, Gaofei Han, Che Lin, Wenji Li, jie xu, Jiafan Zhuang<\/td>\n<\/tr>\n
Follow the STARs: Dynamic $\\omega$-Regular Shielding of Learned Probabilistic Policies<\/td>Ashwani Anand, Satya Prakash Nayak, Ritam Raha, Anne-Kathrin Schmuck<\/td>\n<\/tr>\n
KAN-Enhanced Graph Learning for Active Voltage Control in Dynamic Power Systems<\/td>Liqian Sun, Hang Xiao, Shuhan Qi, Huale Li, Jiajia Zhang, Xuan Wang<\/td>\n<\/tr>\n
SESiL: Social, Evolutionary Supported Learning<\/td>Tianshu Zhao, Zinovi Rabinovich<\/td>\n<\/tr>\n
BusEnv: A Multi-agent Reinforcement Learning Environment and Benchmark for Urban Public Transportation<\/td>WESLEY DA SILVA E SILVA, RICARDO RIOS, RAFAEL DA COSTA FONSECA, Sabarikirishwaran Ponnambalam, L\u00c3\u00a9a Cass\u00c3\u00a9, Marcos Vin\u00c3\u00adcius dos Santos Ferreira, Albert Bifet, Tatiane Nogueira Rios<\/td>\n<\/tr>\n
IPD: Boosting Sequential Policy with Imaginary Planning Distillation in Offline Reinforcement Learning<\/td>Yihao Qin, Yuanfei Wang, Hang Zhou, Peiran Liu, Hao Dong, Yiding Ji<\/td>\n<\/tr>\n
Dynamically Increasing Agents Set-Size in Bayesian Multi-agent Multi-armed Bandits Framework<\/td>Mohammad ESSA Alsomali, Leandro Soriano Marcolino, Barry Porter, Roberto Rodrigues-Filho<\/td>\n<\/tr>\n
GAPS: Global-Aware Prediction-driven Scheduling for Large-Scale LLM Inference<\/td>Zhengyu Liu, Fan Zhang, Fengzhe Zhang, Shuaikang Hou<\/td>\n<\/tr>\n
Fair Allocation of Improvements: When Old Endowments Shape New Assignments<\/td>Noga Klein Elmalem, Rica Gonen, Erel Segal-Halevi<\/td>\n<\/tr>\n
MORL4Water: A Modular Multi-Objective Reinforcement Learning Toolkit for Water Resource Management<\/td>Zuzanna Osika, Roxana R\u00c4\u0192dulescu, Jazmin Zatarain Salazar, Frans A Oliehoek, Pradeep K. Murukannaiah<\/td>\n<\/tr>\n
Minimax and Preferential Almost-Stable Matchings<\/td>Frederik Glitzner, David Manlove<\/td>\n<\/tr>\n
Global Convergence to Nash Equilibrium in Nonconvex General-Sum Games under the $n$-Sided PL Condition<\/td>Yutong Chao, Jalal Etesami<\/td>\n<\/tr>\n
QD-MAPPER: A Quality Diversity Framework to Automatically Evaluate Multi-Agent Path Finding Algorithms in Diverse Maps<\/td>Cheng Qian, Yulun Zhang, Varun Bhatt, Matthew Christopher Fontaine, Stefanos Nikolaidis, Jiaoyang Li<\/td>\n<\/tr>\n
Token-level Advantage Policy Optimization from Negative Feedback in Multi-Turn Agents<\/td>Xufeng Zhou, Linjing Li, Daniel Dajun Zeng<\/td>\n<\/tr>\n
Outer Diversity of Structured Domains<\/td>Piotr Faliszewski, Krzysztof Sornat, Stanis\u00c5\u201aaw Szufa, Tomasz W\u0105s<\/td>\n<\/tr>\n
Population size effects on strategic classification dynamics<\/td>Marta C. Couto, Flavia Barsotti, Fernando P. Santos<\/td>\n<\/tr>\n
On the Fair Allocation to Asymmetric Agents with Binary XOS Valuations<\/td>Ziheng Chen, Bo Li, Zihan Luo, Jialin Zhang<\/td>\n<\/tr>\n
Stable Marriage on Networks<\/td>Miao Li, Xinwei Song, Dengji Zhao<\/td>\n<\/tr>\n
Stability in Online Assignment Games<\/td>Emile Martinez, Felipe Garrido-Lucero, Umberto Grandi<\/td>\n<\/tr>\n
Synthesis of Safety Specifications for Probabilistic Systems<\/td>Gaspard Ohlmann, Edwin Hamel-de le Court, Francesco Belardinelli<\/td>\n<\/tr>\n
Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings<\/td>Zhizun Wang, David Meger<\/td>\n<\/tr>\n
Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success<\/td>George Bredis, Stanislav Dereka, Viacheslav Sinii, Ruslan Rakhimov, Daniil Gavrilov<\/td>\n<\/tr>\n
D\u00c2\u00b3MAS: Decompose, Deduce, and Distribute for Enhanced Knowledge Sharing in Multi-Agent Systems<\/td>Heng Zhang, Yuling Shi, Xiaodong Gu, Haochen You, Zijian Zhang, Lubin Gan, Yilei Yuan, Jin Huang<\/td>\n<\/tr>\n
On Angels and Demons: Strategic (De)Construction of Dynamic Models<\/td>davide catta, Rustam Galimullin, Munyque Mittelmann<\/td>\n<\/tr>\n
Obnoxious Facility Location Problems: Strategyproof Mechanisms Optimizing $L_p$-Aggregated Utilities and Costs<\/td>Hau Chan, Jianan Lin, Chenhao Wang<\/td>\n<\/tr>\n
General Dynamic Goal Recognition using Goal-Conditioned and Meta Reinforcement Learning<\/td>Osher Elhadad, Owen Morrissey, Reuth Mirsky<\/td>\n<\/tr>\n
Feature-based Uncertainty Model for School Choice<\/td>Yao Zhang, Makoto Yokoo<\/td>\n<\/tr>\n
Enabling User Agency in Scalable Content Recommendations with Large Language Models<\/td>Yucheng Li, Gerrit J.J. Van den Burg, Wei Liu, Zhunxuan Wang, Abhishek Tripathi, Murat Sensoy<\/td>\n<\/tr>\n
Reconstructing Network Outbreaks under Group Surveillance<\/td>Ritwick Mishra, Abhijin Adiga, Anil Vullikanti<\/td>\n<\/tr>\n
IntRec: Intent-based Retrieval with Contrastive Refinement<\/td>Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Yue Lu<\/td>\n<\/tr>\n
Parallelized Planning-Acting for Multi-Agent LLM Systems in Minecraft<\/td>Yaoru Li, Shunyu Liu, Tongya Zheng, Li Sun, Mingli Song<\/td>\n<\/tr>\n
Computational Aspects of Plan-Dependent Model Equivalence: The Case of Knowing-How Bisimulations<\/td>Carlos Areces, Raul Fervari, Antonio Mondejar<\/td>\n<\/tr>\n
ReAcTree: Hierarchical LLM Agent Trees with Control Flow for Long-Horizon Task Planning<\/td>Jae-Woo Choi, Hyungmin Kim, Hyobin Ong, Youngwoo Yoon, Minsu Jang, DohyungKim, Jaehong Kim<\/td>\n<\/tr>\n
PyVRP$^{+}$: LLM-Driven Metacognitive Heuristic Evolution for Hybrid Genetic Search in Vehicle Routing Problems<\/td>Manuj Malik, Jianan Zhou, Shashank Reddy Chirra, Zhiguang Cao<\/td>\n<\/tr>\n
Maximizing the Egalitarian Welfare in Friends and Enemies Games<\/td>Edith Elkind, Michele Flammini, Giovanna Varricchio<\/td>\n<\/tr>\n
Relationships and Connections between Definitions of Metric Proportional Representation<\/td>Yusuf Hakan Kalayci, David Kempe<\/td>\n<\/tr>\n
The Landscape of Almost Equitable Allocations<\/td>Hadi Hosseini, Vishwa Prakash HV, Aditi Sethia, Jatin Yadav<\/td>\n<\/tr>\n
Fair Division under Laminar Matroid Constraints for Three Agents<\/td>Sarfaraz Equbal<\/td>\n<\/tr>\n
Integrating Counterfactual Simulations with Language Models for Explaining Multi-Agent Behaviour<\/td>Balint Gyevnar, Christopher G. Lucas, Stefano V. Albrecht, Shay B Cohen<\/td>\n<\/tr>\n
AltNet: Addressing the Plasticity-Stability Dilemma in Reinforcement Learning<\/td>Mansi Maheshwari, John C. Raisbeck, Bruno Castro da Silva<\/td>\n<\/tr>\n
Necessary President in Elections with Parties<\/td>Katar\u00c3\u00adna Cechl\u00c3\u00a1rov\u00c3\u00a1, Ildik\u00c3\u00b3 Schlotter<\/td>\n<\/tr>\n
Clone-Robust Weights in Metric Spaces: Handling Redundancy Bias in Benchmark Aggregation<\/td>Damien Berriaud, Roger Wattenhofer<\/td>\n<\/tr>\n
Developing Guidelines for Human-LLM Agent Teams: A Multi-Stakeholder Lens<\/td>Mireia Yurrita, Davide Dell'Anna, Pradeep K. Murukannaiah, Catholijn M Jonker, Pinar Yolum<\/td>\n<\/tr>\n
DEpiABS: Differentiable Epidemic Agent-Based Simulator<\/td>Zhijian Gao, Shuxin Li, Bo An<\/td>\n<\/tr>\n
On-line Learning in Tree MDPs by Treating Policies as Bandit Arms<\/td>Anvay Shah, Ramsundar Anandanarayanan, Sharayu Moharir, Shivaram Kalyanakrishnan<\/td>\n<\/tr>\n
Dual-Enhanced Model-Based Policy Optimization: Dynamic Bias-Shift Tradeoff and Adaptive Bidirectional Rollout<\/td>Yuetian Wang, Dianxi Shi, Huanhuan Yang, Yuanze Wang, Shiming Song, Chunping Qiu<\/td>\n<\/tr>\n
MAStitch: Unifying Local and Global Perspectives for Anomaly Detection in Multi-Agent Systems<\/td>Lior Waknin, Yarin Yerushalmi Levi, Ron Solomon, Jaidip Kotak, Amit Giloni, Chiara Picardi, Roman Vainshtein, Yuval Elovici, Asaf Shabtai<\/td>\n<\/tr>\n
Reducing Overestimation by Measuring Critic Disagreement in Multi-Critics Architectures<\/td>Nitsan Soffair, Gilad Katz<\/td>\n<\/tr>\n
Large Language Models for Designing Participatory Budgeting Rules<\/td>Nguyen T Thach, Xingchen Sha, Hau Chan<\/td>\n<\/tr>\n
Distributed Quantum Gaussian Processes for Multi-Agent Systems<\/td>Meet Gandhi, George P. Kontoudis<\/td>\n<\/tr>\n
Constrained Multi-Agent Reinforcement Learning with MAF-Net for Safe Trajectory Planning<\/td>Bizhao Pang, Mingcheng Zhang, Xinting Hu, Thinh Pham, sameer alam, Guglielmo Lulli<\/td>\n<\/tr>\n
Timing the Message: Language-Based Notifications for Time-Critical Assistive Settings<\/td>Ya-Chuan Hsu, Jonathan DeCastro, Andrew Silva, Guy Rosman<\/td>\n<\/tr>\n
Beyond Outcome-Based Imperfect-Recall: Higher-Resolution Abstractions for Imperfect-Information Games<\/td>Yanchang Fu, Qiyue Yin, Shengda Liu, Pei Xu, Kaiqi Huang<\/td>\n<\/tr>\n
Reputation as a Solution to Cooperation Collapse in LLM-based MASs<\/td>Siyue Ren, Wanli Fu, Xinkun Zou, Chen Shen, Yi Cai, Chu chen, Zhen Wang, Shuyue Hu<\/td>\n<\/tr>\n
Sim2Sea: Sim-to-Real Policy Transfer for Maritime Vessel Navigation in Congested Waters<\/td>Xinyu Cui, Xuanfa Jin, Xue Yan, Yongcheng Zeng, Luoyang Sun, Wei Siying, Ruizhi Zhang, Jian Zhao, Haifeng Zhang, Jun Wang<\/td>\n<\/tr>\n
Procedural Knowledge Improves Agentic LLM Workflows<\/td>Vincent Hsiao, Mak Roberts, Leslie N. Smith<\/td>\n<\/tr>\n
Think Fast! Learning to Control Online Reasoning in Stochastic Environments<\/td>Matthew Budd, Bruno Lacerda, Nick Hawes<\/td>\n<\/tr>\n
GLEAR: A Graph Logic-Enhanced RAG Framework for Legal QA<\/td>Jingyun Sun, Jiaming Tian, Jie Shi, Yixin Zhang, Wenxi Sheng, Yang Li<\/td>\n<\/tr>\n
Robust autobidding for noisy conversion prediction models<\/td>Andrey Pudovikov, Khirianova Alexandra, Ekaterina Solodneva, Gleb Molodtsov, Aleksandr Katrutsa, Yuriy Dorn, Egor Samosvat<\/td>\n<\/tr>\n
Hierarchical Reward Design from Language: Enhancing Alignment of Agent Behavior with Human Specifications<\/td>Zhiqin Qian, Ryan Diaz, Sangwon Seo, Vaibhav Unhelkar<\/td>\n<\/tr>\n
Generalized Per-Agent Advantage Estimation for Multi-Agent Policy Optimization<\/td>Seongmin Kim, Giseung Park, Woojun Kim, Jiwon Jeon, Seungyul Han, Youngchul Sung<\/td>\n<\/tr>\n
AutoMETA: A Multi-Agent LLM System for Autonomous Meta-Analysis<\/td>Kunhee Ryu, Keeheon Lee<\/td>\n<\/tr>\n
Learning to maintain safety through expert demonstrations in settings with unknown constraints: A Q-learning perspective.<\/td>George Papadopoulos, George Vouros<\/td>\n<\/tr>\n
On Minimal Achievable Quotas in Multiwinner Voting<\/td>Patrick Becker, Fabian Frank<\/td>\n<\/tr>\n
Truthful Reverse Auctions for Adaptive Selection via Contextual Multi-Armed Bandits<\/td>Pronoy Patra, Sankarshan Damle, Manisha Padala, Sujit Gujar<\/td>\n<\/tr>\n
Participation Incentives in Online Cooperative Games<\/td>Haris Aziz, Yuhang Guo, Zhaohong Sun<\/td>\n<\/tr>\n
UAM-MARL: Uncertainty-Aware Modality-Enhanced Multi-Agent Reinforcement Learning with LLM-Guided Graph Policies<\/td>Zichen Song, Weijia Li<\/td>\n<\/tr>\n
Building Large-Scale Drone Defenses from Small-Team Strategies<\/td>Grant Douglas, Stephen Franklin, Claudia Szabo, Mingyu Guo<\/td>\n<\/tr>\n
Theory of Mind Guided Strategy Adaptation for Zero-Shot Coordination<\/td>Andrew Ni, Simon Stepputtis, Stefanos Nikolaidis, Michael Lewis, Katia P. Sycara, Woojun Kim<\/td>\n<\/tr>\n
Guiding Neuro-Symbolic Scenario Generation with Spatio-Temporal Logic<\/td>Lorenzo Bonin, Francesco Giacomarra, Luca Bortolussi, Jyotirmoy V. Deshmukh, Francesca Cairoli<\/td>\n<\/tr>\n
MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents<\/td>Simon Rosen, Siddarth Singh, Ebenezer Gelo, Helen Robertson, Ibrahim Suder, Victoria Williams, Benjamin Rosman, Geraud Nangue Tasse, Steven James<\/td>\n<\/tr>\n
Beyond Vibe Decision Theory: Asymmetric Manipulation Vulnerabilities in LLM Multi-Agent Coordination<\/td>Sukanya Krishna, Tobin South<\/td>\n<\/tr>\n
Bi-Level Policy Optimization with Nystr\u00c3\u00b6m Hypergradients<\/td>Arjun Prakash, Naicheng He, Denizalp Goktas, Amy Greenwald<\/td>\n<\/tr>\n
Placing Green Bridges Optimally, with Close-Range Habitats in Sparse Graphs<\/td>Christian Wallisch, Till Fluschnik, Leon Kellerhals<\/td>\n<\/tr>\n
SIGMAS: Second-Order Interaction-based Grouping for Overlapping Multi-Agent Swarms<\/td>Minah Lee, Saibal Mukhopadhyay<\/td>\n<\/tr>\n
Efficiently Computing Approximate Nash Equilibria in Multi-Adversarial Team Games<\/td>Prasanna Maddila, R\u00c3\u00a9gis Sabbadin, Meritxell Vinyals<\/td>\n<\/tr>\n
The Facility Location Problem with Aleatory Agents<\/td>Gennaro Auricchio, Jie Zhang<\/td>\n<\/tr>\n
Deception and Communication in Autonomous Multi-Agent Systems: An Experimental Study with Among Us<\/td>Maria Milkowski, Tim Weninger<\/td>\n<\/tr>\n
Team of Rivals: Hierarchical Deep Reinforcement Learning and Behavior Cloning for Multiplayer Poker<\/td>Avishag Shapira, Ido Rom, Asaf Shabtai, Gilad Katz<\/td>\n<\/tr>\n
DELL: Dual-Knowledge Enhanced LLMs for Precise Decision Making in Healthcare<\/td>Danying Mo, Chao Yu, Xuan Lin, Zhongqi Wu, Yuheng Luo, Chen Bai, Chaojin Chen<\/td>\n<\/tr>\n
Learning Hierarchical Procedural Memory for LLM Agents through Bayesian Selection and Contrastive Refinement<\/td>Saman Forouzandeh, Wei Peng, Parham Moradi, Xinghuo Yu, Mahdi Jalili<\/td>\n<\/tr>\n
SocraticAgent: An Autonomous Agent for Unlocking Latent Knowledge in LLMs<\/td>Yang Yan, Yu Lu, Renjun Xu, Zhenzhong Lan<\/td>\n<\/tr>\n
Bons-AI: An Agent-Based Model to evaluate the behavior of bonsai grower according to different levels of communication and experience<\/td>Sara Saori Satake, Guilherme Henrique de Souza Nakahata, Claus Aranha<\/td>\n<\/tr>\n
DR2: Revisiting Visual Reinforcement Learning from the Dimensional Analysis Perspective<\/td>Chuxiong Sun, Jinli Chen, Zehua Zang, Jiangmeng Li, Rui Wang, Changwen Zheng<\/td>\n<\/tr>\n
Conflict-Based Search for Multi Agent Path Finding with Asynchronous Actions<\/td>Xuemian Wu, Shizhe Zhao, Zhongqiang Ren<\/td>\n<\/tr>\n
Sample-Efficient Policy Space Response Oracles with Joint Experience Best Response<\/td>Ariyan Bighashdel, Thiago D. Sim\u00c3\u00a3o, Frans A Oliehoek<\/td>\n<\/tr>\n
Social Welfare Maximization in Approval-Based Committee Voting under Uncertainty<\/td>Haris Aziz, Yuhang Guo, venkateswara Rao Kagita, Baharak Rastegari, Mashbat Suzuki<\/td>\n<\/tr>\n
Robustness of Stable Matchings When Attributes and Salience Determine Preferences<\/td>Amit Ronen, S. S. Ravi, Sarit Kraus<\/td>\n<\/tr>\n
Individual Rationality in Constrained Hedonic Games: Additively Separable and Fractional Preferences<\/td>Foivos Fioravantes, Harmender Gahlawat, Nikolaos Melissinos, \u00c5\u00a0imon Schierreich<\/td>\n<\/tr>\n
Node-Level Federated Learning with Adaptive Personalized Aggregation for Spatio-Temporal Traffic Prediction<\/td>Xiaoying Tu, Ying Lin, Xingjian Lu, Yibing Wang, Bo Hu<\/td>\n<\/tr>\n
LLM Performance Predictors: Learning When to Escalate in Hybrid Human-AI Moderation Systems<\/td>Or Bachar, Or Levi, Sardhendu Mishra, Adi Levi, Manpreet Singh Minhas, Justin Miller, Omer Ben-Porat, Eilon Sheetrit, Jonathan Morra<\/td>\n<\/tr>\n
Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation<\/td>Aja Khanal, Kaushik Tushar Ranade, Rishabh Agrawal, Kalyan Shankar Basu, Apurva Narayan<\/td>\n<\/tr>\n
Alternating-Time Temporal Logic with Dependent Strategies<\/td>Jessica L. Newman, Enrico H. Gerding, Enrico Marchioni, Baharak Rastegari<\/td>\n<\/tr>\n
Issues with measuring task complexity via random policies in robotic tasks<\/td>Reabetswe M. Nkhumise, Mohamed S. Talamali, Aditya Gilra<\/td>\n<\/tr>\n
Pareto-guided Pipeline for Distilling Featherweight AI Agents in Mobile MOBA Games<\/td>Xionghui Yang, Bozhou Chen, Yunlong Lu, Yongyi Wang, Lingfeng Li, Lanxiao Huang, Lin Liu, Wenjun Wang, Meng Meng, Xia Lin, Wenxin Li<\/td>\n<\/tr>\n
Graph-Conditioned Diffusion for Offline Multi-Agent Reinforcement Learning<\/td>Luis Manuel Pimentel, Minwoo Cho, Sean Charles Ye, James E. G. Pagan, Matthew Craig Gombolay<\/td>\n<\/tr>\n
Altruism and Fair Objective in Mixed-Motive Markov games<\/td>Franck XU, Tayeb LEMLOUMA, Arnaud Braud, Jean-Marie Bonnin<\/td>\n<\/tr>\n
Safe Reinforcement Learning via Recovery-based Shielding with Gaussian Process Dynamics Models<\/td>Alex Goodall, Francesco Belardinelli<\/td>\n<\/tr>\n
Learning to Price: Interpretable Attribute-Level Models for Dynamic Markets<\/td>Srividhya Sethuraman, Chandra Shekar Lakshminarayanan<\/td>\n<\/tr>\n
R-Debater: Retrieval-Augmented Debate Generation through Argumentative Memory<\/td>Maoyuan Li, Zhongsheng Wang, Haoyuan Li, Jiamou Liu<\/td>\n<\/tr>\n
OWLViz: An Open-World Benchmark for Visual Question Answering<\/td>Thuy Nguyen, Dang Nguyen, Ho\u00c3\u00a0ng Nguy\u00e1\u00bb\u2026n, Thuan Duc Luong, Franck Dernoncourt, Long Hoang Dang, Viet Dac Lai<\/td>\n<\/tr>\n
Exploring Cognitive Bias Impact, Detection and Mitigation in Large Language Models<\/td>Ana Guti\u00c3\u00a9rrez-Mandingorra, Stella Heras, Javier Palanca, Vicent Botti<\/td>\n<\/tr>\n
Federated Gaussian Process Learning via Pseudo-Representations for Large-Scale Multi-Robot Systems<\/td>Sanket A Salunkhe, George P. Kontoudis<\/td>\n<\/tr>\n
Multigranular Alignment via Linguistic Decomposition and Reward Optimization for Text to Image Diffusion<\/td>Hengrui Liu, Luming Jin, Meng-Fen Chiang<\/td>\n<\/tr>\n
Grassroots Federation: Fair Democratic Governance at Scale<\/td>Nimrod Talmon, Ehud Shapiro<\/td>\n<\/tr>\n
DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments<\/td>Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Nathan Jacobs, Yevgeniy Vorobeychik<\/td>\n<\/tr>\n
Scalable and Safe Multi-Agent Coordination with Reconstructed Level-k Monte Carlo Tree Search<\/td>Zhihao Lin, Lin Wu, Zhen Tian, Alessio Lomuscio, Jianglin Lan<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n

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Accepted as Extended Abstract<\/h2>\n

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Title<\/th>Authors<\/th>\n<\/tr>\n<\/thead>\n
Resolving Task Objective Conflicts in Unified Model via Task-Aware Mixture-of-Experts<\/td>Jiaxing Zhang, Hao Tang<\/td>\n<\/tr>\n
Learning Rewards, Not Labels: Adversarial Inverse Reinforcement Learning for Machinery Fault Detection<\/td>Dhiraj Neupane, Richard Dazeley, Mohamed Reda Bouadjenek, Sunil Aryal<\/td>\n<\/tr>\n
Constant-Memory Strategies in Stochastic Games: Best Responses and Equilibria<\/td>Fengming ZHU, Fangzhen Lin<\/td>\n<\/tr>\n
Fast and Robust Information Spreading in the Noisy PULL Model<\/td>Niccol\u00c3\u00b2 D'Archivio, Amos Korman, Emanuele Natale, Robin Vacus<\/td>\n<\/tr>\n
A Ceteris Paribus Borda Solution to the Social Ranking Problem<\/td>Rachel Ruell\u00c3\u00a9, Stefano Moretti, Ozturk Meltem<\/td>\n<\/tr>\n
A Multimodal AI Approach for Predicting Personal Privacy Preferences in Photo Sharing<\/td>Yuqi Niu, Kejia Zhang, Weidong Qiu, Nadin Kokciyan<\/td>\n<\/tr>\n
Mind-Inference for Multi-Turn Emotional Support: Distinguishing Personal and Factual with Adaptive Memory<\/td>Peilin LI, Qiuyun Zhang, Yukun Lian, Chengxuan Li, Bin Guo, Mengqi Chen, Han Wang, Yuyang Fang, Geyang Song, Yuan Gao<\/td>\n<\/tr>\n
RBC: Retroactive Belief State Compensation for Multi-Agent Collaboration Under Information Delay<\/td>Dongkun Huo, Hongbo Liu, Shu Yin, Yixue Hao, Long Hu, Rui Wang, Min Chen<\/td>\n<\/tr>\n
Situational-Constrained Multi-Agent Coordination through Correlated Equilibria<\/td>Libo Zhang, Zhirui Zeng, Yang Chen, Jiamou Liu<\/td>\n<\/tr>\n
A Conceptual Framework for Shared Autonomy<\/td>Shashank Shekhar, JEANPIERRE Laurent, Abdel-illah Mouaddib<\/td>\n<\/tr>\n
DebugTA: An LLM-Based Agent for Simplifying Debugging and Teaching in Programming Education<\/td>Lingyue Fu, Datong Chen, Haowei Yuan, Xinyi Dai, Qingyao Li, Weinan Zhang, Weiwen Liu, Yong Yu<\/td>\n<\/tr>\n
A Multi Agent System for Automated Alert Analysis, Prioritization, and Resolution in Financial Data Support and Referential Workflows<\/td>Arijit Samal<\/td>\n<\/tr>\n
Computing Pure-Strategy Nash Equilibria in a Two-Party Policy Competition: Existence and Algorithmic Approaches<\/td>Chuang-Chieh Lin, Chi-Jen Lu, Po-An Chen, Chih-Chieh Hung<\/td>\n<\/tr>\n
Bounding Acceptability Degrees and Eliciting Initial Weights in Gradual Argumentation<\/td>Nir Oren, Bruno Yun<\/td>\n<\/tr>\n
Minimizing Envy and Maximizing Happiness in Graphical House Allocation<\/td>Anubhav Dhar, Ashlesha Hota, Palash Dey, Sudeshna Kolay<\/td>\n<\/tr>\n
TEME: A Multi-Agent Evaluation Framework for Spanish Medical Speech Recognition<\/td>Leire Villarroya Mart\u00c3\u00adnez, Stella Heras, Javier Palanca, Vicent Botti, EDWIN TADEO GOMEZ GOMEZ, Enrique Alc\u00c3\u00a1zar Garz\u00c3\u00a1s<\/td>\n<\/tr>\n
Cognitive Heterogeneity and Behavioral Biases in Multi-Stage Supply Chains: Evidence from LLM-Based Agent Simulations<\/td>Jiuyun Jiang, Yuecheng Hong, Bo Yang, Jin Yang, Guangxin Jiang, Xiaomeng Guo, Guang Xiao<\/td>\n<\/tr>\n
A Causality-Inspired Spatial-Temporal Return Decomposition Approach for Multi-Agent Reinforcement Learning<\/td>Yudi Zhang, Yali Du, Biwei Huang, Meng Fang, Mykola Pechenizkiy<\/td>\n<\/tr>\n
Satisfaction Paths in Markov Games<\/td>Yanqing Fu, Chao Huang, Chenrun Wang, Zhuping Wang<\/td>\n<\/tr>\n
Incentivizing Black-Box Model Sharing with Fair Rewards and Payoffs<\/td>Wenyang Hu, Xinyi Xu, See-Kiong Ng, Bryan Kian Hsiang Low<\/td>\n<\/tr>\n
Fair Revenue Compensation in Data Markets<\/td>Nathan Joe Joseph, Jiaxin Song, Bhaskar Ray Chaudhury<\/td>\n<\/tr>\n
Inequality in Congestion Games with Learning Agents<\/td>Dimitris Michailidis, Sennay Ghebreab, Fernando P. Santos<\/td>\n<\/tr>\n
Robust Multiagent Collaboration Through Weighted Max\u00e2\u20ac\u201cMin T-Joins<\/td>sharareh alipour<\/td>\n<\/tr>\n
Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language Models<\/td>Daniel Hennes, Zun Li, John Schultz, Marc Lanctot<\/td>\n<\/tr>\n
Sample-Efficient Neurosymbolic Deep Reinforcement Learning<\/td>Celeste Veronese, Alessandro Farinelli, Daniele Meli<\/td>\n<\/tr>\n
An ML-BDI Reasoner to Support Crime Investigation in Digital Forensics<\/td>Guilherme Dall'Agnol Deconto, Leonardo dos Santos Teixeira, Roben Castagna Lunardi, Rafael C. Cardoso, Felipe Meneguzzi, Avelino Francisco Zorzo<\/td>\n<\/tr>\n
SCMRAG 2.0: Efficient and Scalable Multi-hop Graph RAG with Multimodal Knowledge-Graphs and Agentic Self-Correction<\/td>Rishabh Agrawal, Uday Devulapalli, Apurva Narayan<\/td>\n<\/tr>\n
DEMamba: Decoupled Enhanced State Space Models with Selective Mechanisms for Multivariate Time Series Forecasting<\/td>Junluo Zheng, Yang Liu, Jianyong Chen<\/td>\n<\/tr>\n
Role-Based Orchestration of sLLM Agents for Korean Instruction-Following: A Comparison with SOTA<\/td>GukhwanBae, YounghoLee<\/td>\n<\/tr>\n
Reward-Free Action Poisoning in Offline RL via Conditional Shapley Value Estimation<\/td>Shenghong He, Chao Yu, Kaiqiang Ke, Yinqi Wei<\/td>\n<\/tr>\n
Proportionality from Low-Dimensional Approval Data<\/td>Zhiyi Huang, Gregory Kehne, Chutong Yang<\/td>\n<\/tr>\n
Dynamic Incentivized Cooperation under Changing Rewards<\/td>Philipp Altmann, Thomy Phan, Maximilian Zorn, Claudia Linnhoff-Popien, Sven Koenig<\/td>\n<\/tr>\n
Behavior Tree Generation with LLM-MCTS-BT as a Pre-Planner Bridging Priors and Uncertainty<\/td>Haoming Wang, xueying wang, Xiaoge Deng, Bin Li, Jingtao Qi, Jinjing Sun, Fu Li<\/td>\n<\/tr>\n
Cost-Aware Best Arm Identification via Dueling Feedback with Applications to Large Language Models<\/td>Sarvesh Gharat, Nikhil Karamchandani, Jayakrishnan Nair<\/td>\n<\/tr>\n
Multi-Agent Combinatorial-Multi-Armed-Bandit framework for the Submodular Welfare Problem under Bandit Feedback<\/td>Subham Pokhriyal, Shweta Jain, Vaneet Aggarwal<\/td>\n<\/tr>\n
Efficient Device-Cloud Collaborative Offline-to-Online Reinforcement Learning<\/td>Honglan Huang, Wei Shi, Chaoyue Niu<\/td>\n<\/tr>\n
On multiagent online problems with predictions<\/td>Gabriel Istrate, Cosmin Bonchis, Victor Bogdan<\/td>\n<\/tr>\n
LLM-SMAC: Solving Multi-Agent Decision-Making Tasks via LLM Decision Tree Code Generation<\/td>Yue Deng, Weiyu Ma, Yuxin Fan, Ruyi Song, Yin Zhang, Haifeng Zhang, Jian Zhao<\/td>\n<\/tr>\n
Deep Meta Coordination Graphs for Multi-Agent Reinforcement Learning<\/td>Nikunj Gupta, James Zachary Hare, Jesse Milzman, Rajgopal Kannan, Viktor Prasanna<\/td>\n<\/tr>\n
Does Calibration Affect Human Actions?<\/td>Meir Nizri, Amos Azaria, Chirag Gupta, Noam Hazon<\/td>\n<\/tr>\n
Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM<\/td>Oskar Bohn Lassen, Serio Agriesti, Filipe Rodrigues, Francisco C. Pereira<\/td>\n<\/tr>\n
Bayesian Network Structure Learning through Large Language Models<\/td>Jiebin Cai, Yinghui Pan, Yifeng Zeng, Han Liu<\/td>\n<\/tr>\n
Memory Retention Is Not Enough to Master Memory Tasks in Reinforcement Learning<\/td>Oleg Shchendrigin, Egor Cherepanov, Alexey Kovalev, Aleksandr Panov<\/td>\n<\/tr>\n
AI Alignment Via Power Mean Elicitation<\/td>Chlo\u00c3\u00a9 Becquey, Cyrus Cousins, Yuhui Wei, Chang Zeng, Yair Zick<\/td>\n<\/tr>\n
Autonomous vehicles need social awareness to find optima in multi-agent reinforcement learning routing games.<\/td>Anastasia Psarou, \u00c5\u0081ukasz Gorczyca, Dominik Gawe\u00c5\u201a, Rafal Kucharski<\/td>\n<\/tr>\n
Causal Domain Adaptation: An Information Bottleneck Approach<\/td>Mohammad Ali Javidian<\/td>\n<\/tr>\n
TCRL: Temporal-Coupled Adversarial Training for Robust Constrained Reinforcement Learning in Worst-Case Scenarios<\/td>Wentao Xu, Zhongming Yao, Weihao Li, Zhenghang Song, Yumeng Song, TIANYI LI, Yushuai Li<\/td>\n<\/tr>\n
Preventing Process Reward Model Hacking When Training Large Language Models on Verifiable Rewards<\/td>Grant Collier Forbes, Leonardo Villalobos-Arias, Jianxun Wang, Arnav Jhala, David L. Roberts<\/td>\n<\/tr>\n
Combinatorial Optimization of Antibody Libraries via Constrained Integer Programming<\/td>Conor F. Hayes, Andre R Goncalves, Steven Magana-Zook, Jacob Pettit, Ahmet Can Solak, Daniel faissol, Mikel Landajuela<\/td>\n<\/tr>\n
Enabling Option Learning in Sparse Rewards with Hindsight Experience Replay<\/td>Gabriel Romio, Mateus Begnini Melchiades, Bruno Castro da Silva, Gabriel de Oliveira Ramos<\/td>\n<\/tr>\n
Incremental Multiple Oracle<\/td>Carlos Martin, Tuomas Sandholm<\/td>\n<\/tr>\n
Centralized and Distributed approaches for restoring the Weak Controllability of Multi-Agent Interdependent STNUs<\/td>Ajdin SUMIC, Thierry Vidal, Gauthier Picard, Fr\u00c3\u00a9d\u00c3\u00a9ric Maris, Roberto Posenato, Carlo Combi<\/td>\n<\/tr>\n
G-RAGent: Dynamic Reasoning on Hypergraphs for Retrieval-Augmented Language Models<\/td>Yaoyang Hou, Chen Zheng<\/td>\n<\/tr>\n
Geometric State Fusion for Autonomous Agents: A Comparative Analysis of Dual Quaternion Observer and Kalman Filters<\/td>Ilya Afanasyev<\/td>\n<\/tr>\n
You can go first - Planning for social law synthesis in asymmetric multi-agent settings<\/td>Sarath Sreedharan, Philip D. Hopkins, Felipe Meneguzzi<\/td>\n<\/tr>\n
Repeated Deceptive Path Planning against Learnable Observer<\/td>Shiyue Cao, Pei Xu, Likun Yang, Lei Cui, Shizhao Yu, Shiyu Zhang, Renyongjian, Xiaotang Chen, Kaiqi Huang<\/td>\n<\/tr>\n
GreenLine: A delay-tolerant mechanism design for grid capacity allocation<\/td>Athina Georgara, Jayati Deshmukh, Sarvapali D Ramchurn<\/td>\n<\/tr>\n
The Web Tool Trap: Understanding and Mitigating Over-Reliance in LLM Browsing Agents<\/td>Jiawei Guo, Hongjie Nie, Qianbo Zang, Shu Yang, Shuodi Liu, Yiwei Ru, Liuyu Xiang, Di Wang, Zhaofeng He<\/td>\n<\/tr>\n
Large-Scale Continual Scheduling and Execution for Dynamic Distributed Satellite Constellation Observation Allocation<\/td>Itai Zilberstein, Steve Chien<\/td>\n<\/tr>\n
Blending ontologies and language models to generate sound and natural robot explanations<\/td>Alberto Olivares-Alarcos, Muhammad Ahsan Fatwaddin Shodiq, Satrio Dwi Sanjaya, Hsien-I Lin, Guillem Aleny\u00c3<\/td>\n<\/tr>\n
Temporal Multi-Broadcast Optimization<\/td>Daniele Carnevale, Gianlorenzo D'Angelo<\/td>\n<\/tr>\n
RouterHGC: Optimized Router for LLM-based Multi-Agent Systems via Heterogeneous Graph Contrastive Learning<\/td>Yitao Xiao, Shaoyong Guo, guoming yang, Qingnan Wang, yinlin ren, Xuesong Qiu, Qi Feng<\/td>\n<\/tr>\n
More Views, More Problems? A Critical Analysis of Multi-View Aggregation for Agent Perception<\/td>Federico Tavella, Amber Drinkwater, Angelo Cangelosi<\/td>\n<\/tr>\n
Capital Provision to Reduce Liquidity Defaults and the Role of Central Banks<\/td>Jinyun Tong, Bart De Keijzer, Carmine Ventre<\/td>\n<\/tr>\n
Better Goals, Better Policies: LLM-Driven Relabeling for Offline Goal-Conditioned Reinforcement Learning<\/td>Xule Gao, Chuxiong Sun, Rui Wang, Changwen Zheng<\/td>\n<\/tr>\n
Multiagent Matroid Upgrading: Greedy is Fair and Efficient<\/td>Qingwen Ma, Chao Peng, Changfeng Xu, Chenyang Xu, Ruilong Zhang<\/td>\n<\/tr>\n
Accelerating Action-Robust Deep Deterministic Policy Gradient via Parallel Optimization<\/td>SeongIn Kim, Takeshi Shibuya<\/td>\n<\/tr>\n
Algorithmic Contract Design with Reinforcement Learning Agents<\/td>David Molina Concha, Kyeonghyeon Park, Hyun-Rok Lee, Taesik Lee, Chi-Guhn Lee<\/td>\n<\/tr>\n
Splitting Assumption-Based Argumentation Frameworks<\/td>Giovanni Buraglio, Wolfgang Dvo\u00c5\u2122\u00c3\u00a1k, Stefan Woltran<\/td>\n<\/tr>\n
Approximating Electoral Control Problems<\/td>Huy Vu Bui, Michael C. Chavrimootoo, Kien T. Le, Son M. Nguyen<\/td>\n<\/tr>\n
CoMoU: Model-based Dynamics Estimation for Efficient Offline-to-online Reinforcement Learning<\/td>Dongxiang Chen, Ying Wen, Rui Chen, Kechen Li<\/td>\n<\/tr>\n
Last-iterate Convergence of Heterogeneous Learning in Time-Varying Zero-Sum Games<\/td>Junyue Zhang, Xinxiang Guo, Yi Feng, Xiao Wang, Yifen Mu<\/td>\n<\/tr>\n
Online EFX Allocations with Predictions<\/td>Themistoklis Melissourgos, Nicos Protopapas<\/td>\n<\/tr>\n
Nested Training for Mutual Adaptation in Human\u00e2\u20ac\u201cAI Teaming<\/td>Upasana Biswas, Durgesh Kalwar, Subbarao Kambhampati, Sarath Sreedharan<\/td>\n<\/tr>\n
Single-Deviation Stability in Additively Separable Hedonic Games with Constrained Coalition Sizes<\/td>Martin Bullinger, Adam Dunajski, Edith Elkind, Matan Gilboa<\/td>\n<\/tr>\n
Robust Direct Preference Optimization for Offline Learning<\/td>Shihab Ahmed, Zhenyi Wang, Yue Wang<\/td>\n<\/tr>\n
Toward recognizing Social Media Recommenders under Absent Recommendations: a Graph Neural Network-based Approach<\/td>Sabrina Guidotti, Gregor Donabauer, Davide Taibi, Giuseppe Vizzari, Udo Kruschwitz, Dimitri Ognibene<\/td>\n<\/tr>\n
Horizon Based Cross-View Geolocalization in Maritime Environment<\/td>Alexandre Foucher, Cedric Seguin, Dominique Heller, Johann Laurent<\/td>\n<\/tr>\n
Extending Multi-source Bayesian Optimization With Causality Principles<\/td>Luuk Jacobs, Mohammad Ali Javidian<\/td>\n<\/tr>\n
Privacy Preserving Multi Agent Path Finding<\/td>Rotem Lev Lehman, Roni Stern, Guy Shani<\/td>\n<\/tr>\n
Real Preferences under Arbitrary Norms<\/td>Joshua Zeitlin, Corinna Coupette<\/td>\n<\/tr>\n
On the Trade-Off Between Transparency and Security in Adversarial Machine Learning<\/td>Lucas Fenaux, Christopher Srinivasa, Florian Kerschbaum<\/td>\n<\/tr>\n
PADME: Procedure Aware DynaMic Execution<\/td>Deepeka Garg, Sihan Zeng, Annapoorani Lakshmi Narayanan, Sumitra Ganesh, Leo Ardon<\/td>\n<\/tr>\n
Differentially Private Non-convex Learning: From Generalized Linear Models to Multi-layer Neural Networks<\/td>Hanpu Shen, Cheng-Long Wang, Zihang Xiang, Yiming Ying, Di Wang<\/td>\n<\/tr>\n
A Unified Framework for Zero-Shot Reinforcement Learning<\/td>Jacopo Di Ventura, Jan Felix Kleuker, Aske Plaat, Thomas M. Moerland<\/td>\n<\/tr>\n
Mechanism-Informed Learning for Fair Division<\/td>Ryota Maruo, Tomohiko Yokoyama, Ayumi Igarashi, Koh Takeuchi<\/td>\n<\/tr>\n
Timing Optimization in Dynamic Discrete Action Space Lifelong Reinforcement Learning<\/td>Pangjing Wu, Xiaodong Li<\/td>\n<\/tr>\n
AFRC: Adaptive Responsible Compression for Federated Learning under Data Heterogeneity<\/td>Adarsh Valoor, Sarvapali D Ramchurn<\/td>\n<\/tr>\n
Algorithms for Candidate Control in Sequential Participatory Budgeting Rules<\/td>\u00c5\u00a0imon Schierreich, Krzysztof Sornat<\/td>\n<\/tr>\n
Mitigating Problematic Social Media Use through Paired Recommender Systems with Contrasting Objectives<\/td>Stefano Livella, Luca Bolis, Sabrina Patania, Matteo Papini, Dimitri Ognibene<\/td>\n<\/tr>\n
Neurosymbolic Active Goal Recognition in Partially Observable Environments<\/td>Chenyuan Zhang, Sukai Huang, Hamid Rezatofighi, Mor Vered, Buser Say<\/td>\n<\/tr>\n
Heuristic Transformer: Belief Augmented In-Context Reinforcement Learning<\/td>Oliver Dippel, Bei Peng, Alexei Lisitsa<\/td>\n<\/tr>\n
Learning Semantic and Structure Aware Representation with Large Language Models for Concept Recommendation<\/td>Qingyao Li, Wei Xia, Kounianhua Du, Qiji Zhang, Weinan Zhang, Ruiming Tang, Yong Yu<\/td>\n<\/tr>\n
Detecting Approximate Clones under Approval Voting<\/td>Th\u00c3\u00a9o Delemazure, Piotr Faliszewski, \u00c5\u0081ukasz Janeczko, Du\u00c5\u00a1an Knop, Krist\u00c3\u00bdna Pek\u00c3\u00a1rkov\u00c3\u00a1, Jan Pokorn\u00c3\u00bd, \u00c5\u00a0imon Schierreich, Ildik\u00c3\u00b3 Schlotter<\/td>\n<\/tr>\n
xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing<\/td>Haoyi Niu, Qimao Chen, Tenglong Liu, Jianxiong Li, Guyue Zhou, Yi ZHANG, Jianming HU, Xianyuan Zhan<\/td>\n<\/tr>\n
Explainable Representation of Finite-Memory Policies for POMDPs using Decision Trees<\/td>Muqsit Azeem, Debraj Chakraborty, Sudeep Kanav, Jan Kretinsky<\/td>\n<\/tr>\n
Towards Probabilistic Strategic Timed CTL<\/td>Wojciech Jamroga, Marta Kwiatkowska, Wojciech Penczek, Laure Petrucci, Teofil Sidoruk<\/td>\n<\/tr>\n
DomAgent: Leveraging Knowledge Graphs and Case-Based Reasoning for Domain-Specific Code Generation<\/td>Shuai Wang, Dhasarathy Parthasarathy, Robert Feldt, Yinan Yu<\/td>\n<\/tr>\n
Procedural Fairness in Multi-Agent Bandits<\/td>Joshua Caiata, Carter Blair, Kate Larson<\/td>\n<\/tr>\n
Plan-and-Execute: LLM-Guided Reinforcement Learning with Cross-Modal Fusion for Long-Sequence Decision Making<\/td>Yadong Li, Tong Zhang, Zhen Cui<\/td>\n<\/tr>\n
Multimodal Emotion Recognition in Conversation via Large Language Models and Global\u00e2\u20ac\u201cLocal Cross-Domain Graphs<\/td>Haobo Ma, Chen Huang, Yan Zhang, Chao Yang, Jianhua Song<\/td>\n<\/tr>\n
The Monetization Agent: A Deployed POMDP for Maximizing Lifetime In-App Advertising Revenue<\/td>Jiacheng Chang, Xiao Lei, Zhixi Wan, Lei Huang, Qi He<\/td>\n<\/tr>\n
Selfish routing games with priority lanes<\/td>Yang Li, Alexander Skopalik, Marc Uetz<\/td>\n<\/tr>\n
PSN Game: Game-theoretic Prediction and Planning via a Player Selection Network<\/td>Tianyu Qiu, Eric Ouano, Fernando Palafox, Christian Ellis, David Fridovich-Keil<\/td>\n<\/tr>\n
Let Leaders Play Games: Improving Timing in Leader-based Consensus<\/td>Rasheed Ahmed, Parth Desai, Sujit Gujar<\/td>\n<\/tr>\n
ProSh: Probabilistic Shielding for Model-free Reinforcement Learning<\/td>Edwin Hamel-de le Court, Gaspard Ohlmann, Francesco Belardinelli<\/td>\n<\/tr>\n
Selective Amnesia: Observation Unlearning in Reinforcement Learning<\/td>Yue Yang, Jinhao Li, Hao Wang<\/td>\n<\/tr>\n
Formalizing Mental Privacy in LogiKEy<\/td>Luca Pasetto, Christoph Benzm\u00c3\u00bcller, R\u00c3\u00a9ka Markovich<\/td>\n<\/tr>\n
Bridging the Gap Between Estimated and True Regret in Deep Learning\u00e2\u20ac\u201cBased Auction Mechanisms<\/td>shuyuan you, Zhiqiang Zhuang, Haiying Wu, Kewen Wang, Zhe Wang<\/td>\n<\/tr>\n
Reinforcement Learning for Falsification of Dynamic Driving Scenarios<\/td>Oliver Chang, Kay Vargas, Leilani H. Gilpin, Daniel J. Fremont<\/td>\n<\/tr>\n
Network-based Active Learning for Identifying Illicit Actors in Financial Transaction Networks<\/td>Amro Alabsi Aljundi, Abhijin Adiga, Christopher Barrett, Margaret J. Foster, Brian D. Klahn, Dustin Machi, Achla Marathe, Philip B.K. Potter, Aaron Schroeder, Samarth Swarup, Anil Vullikanti, Mandy L Wilson, Madhav Marathe<\/td>\n<\/tr>\n
Equilibria in Quantitative Bipolar Argumentation Dialogues<\/td>Andreas Br\u00c3\u00a4nnstr\u00c3\u00b6m, Timotheus Kampik<\/td>\n<\/tr>\n
Allocation Proportionality of OWA Voting Rules<\/td>Daria Boratyn, Dariusz Stolicki<\/td>\n<\/tr>\n
Stronger Approximation Guarantees for Non-Monotone $\\gamma$-Weakly DR-Submodular Maximization<\/td>Hareshkumar Jadav, Ranveer Singh, Vaneet Aggarwal<\/td>\n<\/tr>\n
From Knowledge to Causality: Self-Supervised Representation Learning for Granger Causal Discovery in Groups of Time Series<\/td>Bo Liu, Hongyan Li, Shenda Hong<\/td>\n<\/tr>\n
Encoding Goals as Graphs: Structured Objectives for Scalable Cooperative Multi-Agent Reinforcement Learning<\/td>Alessandro Amato, Raffaele Galliera, K. Brent Venable, Niranjan Suri<\/td>\n<\/tr>\n
Dynamic Network Link Prediction Based on Characterization of Temporal Attributes<\/td>Xiaojing Liu, Winston K.G. Seah, GangXu<\/td>\n<\/tr>\n
Suggestion-Based Assistance of Suboptimal Users in Sequential Decision-Making Tasks<\/td>Niklas Dieckow, Pierre-Alexandre Murena<\/td>\n<\/tr>\n
Self-Evolving Software Agents<\/td>Marco Robol, Paolo Giorgini<\/td>\n<\/tr>\n
Fair Allocation with Initial Utilities<\/td>Niclas Boehmer, Luca Kreisel<\/td>\n<\/tr>\n
TAXI2: Joint Pairing and Vehicle Assignment for Two-Passenger Shared Taxis<\/td>Afzaal Hassan, Irene Moser, Mark Wallace, Daniel Harabor<\/td>\n<\/tr>\n
Collaborate, Deliberate, Evaluate: How LLM Alignment Affects Coordinated Multi-Agent Outcomes<\/td>Abhijnan Nath, Carine Graff, Nikhil Krishnaswamy<\/td>\n<\/tr>\n
GCMRBench: Goal-Conditioned Multi-Robot Environments and Benchmarks for Advancing Offline Multi-Agent Reinforcement Learning<\/td>Chenxing Li, Chin-Jui Chang, Yinlong Liu, Zijian Ma, Jan R. Seyler, Shahram Eivazi<\/td>\n<\/tr>\n
Engineering norm-aware BDI agents<\/td>Michael Winikoff, Frank Dignum, Sebastian Rodriguez, John Thangarajah<\/td>\n<\/tr>\n
Towards Strengthening Decentralised Exchange<\/td>Rixt Hellinga, George Iosifidis, Neil Yorke-Smith<\/td>\n<\/tr>\n
When LLM Agent Teams Fail at Topological Spatial Reasoning Under Partial Observability<\/td>Heitor Gama, Jean-Philippe DIGUET, Damith Ranasinghe<\/td>\n<\/tr>\n
Independence of Approximate Clones with Ordinal Preferences<\/td>Th\u00c3\u00a9o Delemazure<\/td>\n<\/tr>\n
Time-Varyingness in Auction Breaks Revenue Equivalence<\/td>Yuma Fujimoto, Kaito Ariu, Kenshi Abe<\/td>\n<\/tr>\n
Grounding vs. Compositionality: On the Non-Complementarity of Reasoning in Neuro-Symbolic Systems<\/td>Mahnoor Shahid, Hannes Rothe<\/td>\n<\/tr>\n
Strategic Interactions in Multi-Level Stackelberg Games with Non-Follower Agents and Heterogeneous Leaders<\/td>Niloofar Aminikalibar, Farzaneh Farhadi, Maria Chli<\/td>\n<\/tr>\n
Disjunctive Temporal Refinement Planning with Variable Action Duration and Execution Makespan Bounds<\/td>Mica Gardone, Rogelio E. Cardona-Rivera<\/td>\n<\/tr>\n
Equity by Design in Task Allocation: Reverse Auctions with Group and Individual Fairness<\/td>Yunxiao Zhao, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov<\/td>\n<\/tr>\n
SPADE: Sketch-guided Path Planning Augmented with Diffusion Experts<\/td>Charbel Abi Hana, Tatiana Ghantous, Mikael Khalil, Anthony Rizk<\/td>\n<\/tr>\n
Safe Multi-Agent Reinforcement Learning Through Neural Graph Control Barrier Functions<\/td>Ziye Deng, QIANG LI, Mingyue Zhang, WU CHEN<\/td>\n<\/tr>\n
Enhanced Deep Q-Learning with Gaussian Mixtures<\/td>Chainesh Gautam, Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi<\/td>\n<\/tr>\n
Active Inference through Incentive Design in Partially Observable Markov Decision Processes<\/td>Xinyi Wei, Chongyang Shi, Shuo Han, Ahmed Hemida, Charles A kamhoua, Jie Fu<\/td>\n<\/tr>\n
LLM-based Agents in Supply Chain Games: The Role of Incomplete Information and Model Heterogeneity<\/td>Jiuyun Jiang, Yuecheng Hong, Jiangnan Shi, Song Huang, Jin Yang, Guangxin Jiang, Xiaomeng Guo, Guang Xiao<\/td>\n<\/tr>\n
RAC: Request-adaptive Configuration for Efficient Speculative Decoding<\/td>Jinhao Sheng, Xiao Huang, Hongxin Wei, Feng Zhou<\/td>\n<\/tr>\n
Asynchronous Multi-Agent Reinforcement Learning for 5G Routing under Side Constraints<\/td>Sebastian Racedo, Brigitte Jaumard, Oscar Delgado, Meysam Masoudi<\/td>\n<\/tr>\n
Do LLMs Strategically Reveal, Conceal, and Infer Information? A Theoretical and Empirical Analysis in The Chameleon Game<\/td>Mustafa O. Karabag, Jan Sobotka, ufuk topcu<\/td>\n<\/tr>\n
From Competition to Collaboration: Designing Sustainable Mechanisms Between LLMs and Online Forums<\/td>Niv Fono, Yftah Ziser, Omer Ben-Porat<\/td>\n<\/tr>\n
InteractFormer: Inter-Agent Spatiotemporal Attention for Multi-Agent Action Anticipation<\/td>Yiqi Jin, Simon Stepputtis, Carl Busart, Katia P. Sycara, Yaqi Xie<\/td>\n<\/tr>\n
Stackelberg Equilibria of Blotto Games<\/td>Masoud Seddighin, Saeed Seddighin<\/td>\n<\/tr>\n
BEDA: Belief Estimation as Probabilistic Constraints for Performing Strategic Dialogue Acts<\/td>Hengli Li, Zhaoxin Yu, Qi Shen, Chenxi Li, Mengmeng Wang, Tinglang Wu, Yipeng Kang, Yuxuan Wang, Song-Chun Zhu, Zixia Jia, Zilong Zheng<\/td>\n<\/tr>\n
Fair Committee Selection under Ordinal Preferences and Limited Cardinal Information<\/td>Ameet Gadekar, Aristides Gionis, Suhas Thejaswi, Sijing Tu<\/td>\n<\/tr>\n
Game-Theoretic and Algorithmic Analyses of Multi-Agent Routing under Crossing Costs<\/td>Tesshu Hanaka, Nikolaos Melissinos, Hirotaka Ono<\/td>\n<\/tr>\n
Proportionality Variations in Repeated Fair Division of Indivisible Goods<\/td>Karl Jochen Micheel, Ana\u00c3\u00ablle Wilczynski<\/td>\n<\/tr>\n
Offline Safe Policy Optimization From Heterogeneous Feedback<\/td>Ze Gong, Pradeep Varakantham, Akshat Kumar<\/td>\n<\/tr>\n
Discovery and Enactment of Declarative Interaction Protocols in Dynamically Open Settings<\/td>Andrei Ciortea, Kai Schultz, Amit K. Chopra, Ganesh Ramanathan<\/td>\n<\/tr>\n
Stochastically Dominant Preference Optimization: Policy Improvement For All<\/td>Ali Farajzadeh, Syed M. Abbas, Aadirupa Saha, Brian D Ziebart<\/td>\n<\/tr>\n
Low Complexity Online Contextual Learning with Continuous Actions<\/td>Mohsen Najjar, Tavor Baharav, Ilai Bistritz<\/td>\n<\/tr>\n
Evaluating XAI Support From A Hierarchical Reinforcement Learning Policy in Human-Agent Collaboration<\/td>Mateus Levi Sim\u00c3\u00b5es Fernandes, Alberto Sardinha<\/td>\n<\/tr>\n
Strategic Behavior, Fairness, and Social Optimality in Multi-Winner Elections under Uncertainty<\/td>Janik B\u00c3\u00bcrgermeister, Chris Dong, Michael T. Lewicki<\/td>\n<\/tr>\n
Coalition Tactics: Bribery and Control in Parliamentary Elections<\/td>Hodaya Barr, Eden Hartman, Yonatan Aumann, Sarit Kraus<\/td>\n<\/tr>\n
Pareto-Guided Exploration for Multi-Objective Multiagent Learning<\/td>Gaurav Dixit, Kagan Tumer<\/td>\n<\/tr>\n
Near-Feasible Stable Matchings: Incentives and Optimality<\/td>Frederik Glitzner<\/td>\n<\/tr>\n
On Quantitative Analysis of Responsibility in Multi-Agent Systems<\/td>Chunyan Mu, Nir Oren<\/td>\n<\/tr>\n
Efficient Teammate Adaptation with Language-assisted Progressive Intention Alignment<\/td>Zhichao Wu, Ruiqi Xue, Yi-Chen Li, Cong Guan, Jing-Wen Yang, Lei Yuan, Yang Yu<\/td>\n<\/tr>\n
Low Message-Cost Gossip for Welfare-Optimal Decentralized Decision Making<\/td>Vedic Sharma, Peter Marbach<\/td>\n<\/tr>\n
Revisiting the Evolution of Cooperation in Complex Societies<\/td>Jonathan Berry Skaggs, Jacob Crandall<\/td>\n<\/tr>\n
On the Semantics of Primary Cause in Hybrid Dynamic Domains<\/td>Shakil M Khan, Asim Mehmood, Sandra Zilles<\/td>\n<\/tr>\n
LLMAide: Language-Assisted Neural Solver for Vehicle Routing Problems<\/td>Manuj Malik, Jianan Zhou, Yan Jin, Zhiguang Cao<\/td>\n<\/tr>\n
IntentGuard: Securing MCP-Enabled LLM Agents via Post-Decision Semantic Plan Verification<\/td>Haoran Cheng, Yunhao Yao, Jinke Song, Zhiqiang Wang, Lan Zhang<\/td>\n<\/tr>\n
Neural MFGs: Extending Mean-Field Game Theory with Neural Stochastic Differential Equations<\/td>Chiara Th\u00c3\u00b6ni, Yoram Bachrach, Tal Kachman<\/td>\n<\/tr>\n
Too many specialists: Emergent Inefficiencies and bottlenecks for multi-agent ad-hoc collaboration<\/td>Benjamin Panny, Shashank Mehrotra, Zahra Zahedi, Teruhisa Misu, Kumar Akash<\/td>\n<\/tr>\n
ANN-CMCGS: Generalizing Continuous Monte-Carlo Graph Search with Approximate Nearest Neighbors<\/td>Christoph Scherer, Wolfgang H\u00c3\u00b6nig<\/td>\n<\/tr>\n
Information Fidelity in Tool-Using LLM Agents: A Martingale Analysis of the Model Context Protocol<\/td>Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer, Yew-Soon Ong<\/td>\n<\/tr>\n
LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation<\/td>Dongge Han, Camille Couturier, Daniel Madrigal, Xuchao Zhang, Victor R\u00c3\u00bchle, Saravan Rajmohan<\/td>\n<\/tr>\n
CtrlRAG: Black-box Document Poisoning Attacks for Retrieval-Augmented Generation of Large Language Models<\/td>Runqi Sui, Xuejing Yuan, Di Tang, Baojiang cui<\/td>\n<\/tr>\n
Symbolic Guidance for LLM Agents in Distributed Multiagent Coordination<\/td>Ben Rachmut, Ning Zhang, Yevgeniy Vorobeychik, William Yeoh<\/td>\n<\/tr>\n
Reliable Data Science Analysis with Large Language Models via Multi-Agent Tools Orchestration<\/td>Mingyin Zou, Guangrong You, Xiaomin Zhu, Yanqing Ye, Ji Wang<\/td>\n<\/tr>\n
DFORD: Directional Feedback based Online Ordinal Regression Learning<\/td>Naresh Manwani, M Elamparithy, Tanish Taneja<\/td>\n<\/tr>\n
Scenario Generation for Risk-Aware Reinforcement Learning<\/td>Mohit Prashant, Arvind Easwaran<\/td>\n<\/tr>\n
Multi-Attribute Committee Selection: Diversity, Correlation, and Approximation Guarantees<\/td>Doron Heller, Reshef Meir<\/td>\n<\/tr>\n
AI-Agent Systems for Supply Chains: Structured Decision Prompts and Memory Retrieval<\/td>Konosuke Yoshizato, Kazuma Shimizu, Ryota Higa, Takanobu Otsuka<\/td>\n<\/tr>\n
Mitigating Constraint Conflict in Offline RL: An Adaptive Weighted Constraint Approach<\/td>Pengyu Chen, Shirong Liu, Minye Huang, Haozhuo Zheng, Haoyu Liu, Wenyu Yuan, Yang Liu<\/td>\n<\/tr>\n
Safe Offline Reinforcement Learning using Diffusion Policies<\/td>Ankita Kushwaha, Kiran Ravish, Preeti, Pawan Kumar, Anuj Mahajan<\/td>\n<\/tr>\n
Decentralized Asynchronous Multi-player Bandits<\/td>Jingqi Fan, Canzhe Zhao, Shuai Li, Siwei Wang<\/td>\n<\/tr>\n
Finding the Weakest Link: Adversarial Attack against Multi-Agent Communications<\/td>Maxwell Standen, Junae Kim, Claudia Szabo<\/td>\n<\/tr>\n
G2CP: A Graph-Grounded Communication Protocol for Verifiable and Efficient Multi-Agent Reasoning<\/td>Karim Ben Khaled, Davy Monticolo<\/td>\n<\/tr>\n
Safe But Not Sorry: Reducing Over-Conservatism in Safety Critics via Uncertainty-Aware Modulation<\/td>Daniel Bethell, Simos Gerasimou, Radu Calinescu, Calum Imrie<\/td>\n<\/tr>\n
Nanobot Algorithms for Treatment of Diffuse Cancer<\/td>Noble Harasha, Nancy A. Lynch<\/td>\n<\/tr>\n
Bridging Expertise and Data: Multi-Label Disease Detection via Causal Learning and Decision Fusion<\/td>Xin Zhang, MinHui Zhang, Jiaqi Liu, Zhiwen Yu, Bin Guo<\/td>\n<\/tr>\n
Leveraging Context-Oriented Programming to Implement Normative Rules in Autonomous Systems<\/td>Roberto Casadei, Martina De Sanctis, Gianluca Filippone, Sara Pettinari, Gian Luca Scoccia, Nicolas Troquard<\/td>\n<\/tr>\n
IG-MCTS: Human-in-the-Loop Cooperative Navigation under Incomplete Information<\/td>Shenghui Chen, Ruihan Zhao, Sandeep P. Chinchali, ufuk topcu<\/td>\n<\/tr>\n
Fair Contracts in Principal-Agent Games with Heterogeneous Types<\/td>Jakub T\u00c5\u201auczek, Victor Villin, Christos Dimitrakakis<\/td>\n<\/tr>\n
CQGen-MAS: A Multi-Agent System for Competency Questions Generation from Ontology<\/td>Fei Du, An huilong, Feng Li, Chen Li, Weidong Liu<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

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ACCEPTED PAPERS - RESEARCH TRACK<\/span><\/h1>\n\t\t\t\t
<\/div>\n\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>Accepted as Full Paper \n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
Title<\/th>Authors<\/th>\n<\/tr>\n<\/thead>\n
Characterizing Consensuses in Belief Flow Networks<\/td>Nicolas Schwind, Gauvain Bourgne, Katsumi Inoue<\/td>\n<\/tr>\n
Comparing the Fairness of Recursively Balanced Picking Sequences<\/td>Karen Frilya Celine, Warut Suksompong, Sheung Man Yuen<\/td>\n<\/tr>\n
Constrained Assumption-Based Argumentation Frameworks<\/td>Emanuele De Angelis, Fabio Fioravanti, Maria Chiara Meo, Alberto Pettorossi, Maurizio Proietti, Francesca Toni<\/td>\n<\/tr>\n
Identifying Essential Rule Sets in Agent-Based Models Through Systematic Ablation: A Tumor Evolution Case Study<\/td>Nhung Duong, \u00c4\u0090o\u00c3\u00a0n Minh L\u00c6\u00b0\u00e1\u00bb\u00a3ng, Anh Do, Anh Truong, Ngoc Do, Nguyen Tran Nam Tien, Tuan Do<\/td>\n<\/tr>\n
Multi-Objective Coverage via Constraint Active Search<\/td>Zakaria Shams Siam, Xuefeng Liu, Chong Liu<\/td>\n<\/tr>\n
An Algebraic Structuring of Epistemic States for BDI Agents in Uncertain Environments<\/td>Charles A. N. Costa, Marlo Souza, C\u00c3\u00a9lia Ghedini Ralha<\/td>\n<\/tr>\n
Interactive Bayesian Deception under Strategic Timing<\/td>Amitalok J. Budkuley, Arya Choudhuri<\/td>\n<\/tr>\n
SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model<\/td>Shiyue Cao, Pei Xu, Likun Yang, Lei Cui, Xiaotang Chen, Kaiqi Huang<\/td>\n<\/tr>\n
Cross-Domain Alignment with Fine Geometric Perception for Detail-Preserving Point Cloud Completion<\/td>Chen Huang, Haobo Ma, Yan Zhang, Chao Yang, Jianhua Song<\/td>\n<\/tr>\n
Decisions.jl: Representing and Transforming Decision Problem Classes in Julia<\/td>Mel Krusniak, Ofer Dagan, Himanshu Gupta, Benjamin Kraske, Kyle Hollins Wray, Zachary Sunberg<\/td>\n<\/tr>\n
Defection at First Sight: Learning Partner Selection in Optional Social Dilemmas without Prior Information<\/td>Benedict Russell, Chin-wing Leung, Paolo Turrini<\/td>\n<\/tr>\n
Metric Hedonic Games on the Line<\/td>Merlin de la Haye, Pascal Lenzner, Farehe Soheil, Marcus Wunderlich<\/td>\n<\/tr>\n
The Impossibility of Strategyproof Rank Aggregation<\/td>Manuel Eberl, Patrick Lederer<\/td>\n<\/tr>\n
Robust Counterfactual Inference in Markov Decision Processes<\/td>Jessica Lally, Milad Kazemi, Nicola Paoletti<\/td>\n<\/tr>\n
Surrogate-Augmented Deception in Reinforcement Learning (SAD-RL)<\/td>Joe Shymanski, Scott Nivison, Sandip Sen<\/td>\n<\/tr>\n
Decentralized Value Systems Agreements<\/td>Arturo Hernandez-Sanchez, Natalia Criado, Stella Heras, Miguel Rebollo, Jose Such<\/td>\n<\/tr>\n
Zero-Shot Coordination in Ad Hoc Teams with Generalized Policy Improvement and Difference Rewards<\/td>Rupal Nigam, Niket Parikh, Hamid Osooli, Mikihisa Yuasa, Jacob Heglund, Huy T Tran<\/td>\n<\/tr>\n
OSIL: Learning Offline Safe Imitation Policies with Safety Inferred from Non-preferred Trajectories<\/td>Returaj Burnwal, Nirav Pravinbhai Bhatt, Balaraman Ravindran<\/td>\n<\/tr>\n
Reasoning about Bias in Multi-Agent Systems Verification<\/td>Vadim Malvone, Chunyan Mu<\/td>\n<\/tr>\n
Maximizing Index Diversity in Committee Elections<\/td>Paula B\u00c3\u00b6hm, Robert Bredereck, Till Fluschnik<\/td>\n<\/tr>\n
Output-Feedback Security Tracking for Robotic Systems against DoS Attacks Using Finite-Time Observers<\/td>jingwen Fan, Xiaozheng Jin, Jia Fu<\/td>\n<\/tr>\n
Health Facility Location in Ethiopia: Leveraging LLMs to Integrate Expert Knowledge into Algorithmic Planning<\/td>Yohai Trabelsi, GUOJUN XIONG, Fentabil Getnet, St\u00c3\u00a9phane Verguet, Milind Tambe<\/td>\n<\/tr>\n
Balancing for Agent Decision Making through Argumentation<\/td>Liuwen Yu, Chenyang Cai, Leon Van der Torre, R\u00c3\u00a9ka Markovich<\/td>\n<\/tr>\n
Influencing LLM Multi-Agent Dialogue via Policy-Parameterized Prompts<\/td>Hongbo Bo, Jingyu Hu, Weiru Liu<\/td>\n<\/tr>\n
Catch Me If You Can: Finding the Source of Infections in Temporal Networks<\/td>Ben Bals, Michelle D\u00c3\u00b6ring, Nicolas Klodt, George Skretas<\/td>\n<\/tr>\n
Utility-based soft masking for continual multi-objective reinforcement learning<\/td>Timon Deschamps, R\u00c3\u00a9my Chaput, Mathieu Guillermin, Laetitia Matignon<\/td>\n<\/tr>\n
Proportional and Pareto-Optimal Allocation of Chores with Subsidy<\/td>Jugal Garg, Eklavya Sharma, Xiaowei Wu<\/td>\n<\/tr>\n
Existence and Computation of Fair Allocations under Constraints<\/td>Siddharth Barman, Ioannis Caragiannis, Sudarshan Shyam<\/td>\n<\/tr>\n
Average Unfairness in Routing Games<\/td>Pan-Yang Su, Arwa Alanqary, Bryce Ferguson, Manxi Wu, Alexandre M Bayen, S. Shankar Sastry<\/td>\n<\/tr>\n
Practical approach to $2$-Euclidean Preferences<\/td>Michal Dvo\u00c5\u2122\u00c3\u00a1k, Jan Pokorn\u00c3\u00bd, Du\u00c5\u00a1an Knop, Martin Sl\u00c3\u00a1vik<\/td>\n<\/tr>\n
Teaching LLMs Naturally: Pedagogical Strategies for Interactive Knowledge Acquisition<\/td>Sabrina Patania, Luca Annese, Cansu Koyuturk, Dimitri Ognibene<\/td>\n<\/tr>\n
Fairness Dynamics in Digital Economy Platforms with Biased Ratings<\/td>J. Martin Smit, Fernando P. Santos<\/td>\n<\/tr>\n
DRAGON: LLM-Driven Decomposition and Reconstruction Agents for Large-Scale Combinatorial Optimization<\/td>Shengkai Chen, Zhiguang Cao, Jianan Zhou, Yaoxin Wu, Senthilnath Jayavelu, Zhuoyi Lin, Xiaoli Li, Shili Xiang<\/td>\n<\/tr>\n
Computing Perfect Bayesian Equilibria, with Application to Empirical Game-Theoretic Analysis<\/td>Christine Konicki, Mithun Chakraborty, Michael P. Wellman<\/td>\n<\/tr>\n
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation<\/td>Patrick Benjamin, Alessandro Abate<\/td>\n<\/tr>\n
Learning the Value Systems of Societies with Preference-based Multi-objective Reinforcement Learning<\/td>Andr\u00c3\u00a9s Holgado-S\u00c3\u00a1nchez, Peter Vamplew, Richard Dazeley, Sascha Ossowski, Holger Billhardt<\/td>\n<\/tr>\n
Why and Whom to Communicate? A Dual-Objective, Cost\u00e2\u20ac\u201cBenefit Framework for Multi-Agent Communication<\/td>Yi-Yu Lin, Jiahao Zhang, Xiao-Jun Zeng<\/td>\n<\/tr>\n
TAAM:Inductive Graph-Class Incremental Learning with Task-Aware Adaptive Modulation<\/td>Jingtao Liu, Xinming Zhang<\/td>\n<\/tr>\n
Rethinking Priority Scheduling for Sequential Multi-Agent Decision Making in Stackelberg Games<\/td>Xiangyu Liu, Liang Zhang, Bo Jin, Ziqi Wei<\/td>\n<\/tr>\n
$\\mu$ACP: A Formal Calculus for Expressive, Resource-Constrained Agent Communication<\/td>Arnab, Indraveni<\/td>\n<\/tr>\n
The Power of Information for Intermediate States in Contract Design<\/td>YiRui Zhang, Zhixuan Fang<\/td>\n<\/tr>\n
IntentCUA: Learning Intent-level Representations for Skill Abstraction and Multi-Agent Planning in Computer-Use Agents<\/td>Seoyoung Lee, Seobin Yoon, Seongbeen Lee, Yoojung Chun, Dayoung Park, Doyeon Kim, Joo Yong Sim<\/td>\n<\/tr>\n
Real-time Cohorting of Nursing Care into Bubbles<\/td>Jeffrey Keithley, Tinh Tran, Lucas Zach-Ryan, D M Hasibul Hasan, Brodie McCuen, Sriram Pemmaraju, Bijaya Adhikari<\/td>\n<\/tr>\n
Towards Generalisable Imitation Learning Through Conditioned Transition Estimation and Online Behaviour Alignment<\/td>Nathan Gavenski, Matteo Leonetti, Odinaldo Rodrigues<\/td>\n<\/tr>\n
CONSENT: A Negotiation Framework for Leveraging User Flexibility in Vehicle-to-Building Charging under Uncertainty<\/td>Rishav Sen, Fangqi Liu, Jose Paolo Talusan, Ava Pettet, Yoshinori Suzue, Mark Bailey, Ayan Mukhopadhyay, Abhishek Dubey<\/td>\n<\/tr>\n
Single-Winner Voting on Matchings<\/td>Niclas Boehmer, Jessica Dierking<\/td>\n<\/tr>\n
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes<\/td>Min Zhang, Hongyao Tang, Jianye HAO, YAN ZHENG<\/td>\n<\/tr>\n
Adjusted Winner: from Splitting to Selling<\/td>Robert Bredereck, Eyal Briman, Bin Sun, Nimrod Talmon<\/td>\n<\/tr>\n
Beyond Scalar Welfare: Enforcing Identity-Aware Equity in Multi-Agent Reinforcement Learning<\/td>Nhat-Hoang P. Nguyen, Thinh Pham, Trung-Hoang Le, sameer alam, Vu N. Duong<\/td>\n<\/tr>\n
A Verification Framework for Obstruction, Probability, and Time<\/td>Wissal DAHANI, Jean Leneutre, Vadim Malvone, James Ortiz, Axel Oscar<\/td>\n<\/tr>\n
General Flexible $f$-divergence for Challenging Offline RL Datasets with Low Stochasticity and Diverse Behavior Policies<\/td>Jianxun Wang, Grant Collier Forbes, Leonardo Villalobos-Arias, David L. Roberts<\/td>\n<\/tr>\n
Boosting Offline MARL under Imbalanced Datasets via Compositional Diffusion Models<\/td>Lihe Li, Shenghe Hu, Bingxuan Lan, Yuqi Bian, Huan ZHang, ZhaoMing, Chongjie Zhang, Lei Yuan, Yang Yu<\/td>\n<\/tr>\n
BeWater: Effective Protesters Navigate Watersheds in Street Networks<\/td>Guillaume Moinard, Matthieu Latapy<\/td>\n<\/tr>\n
Everyone Contributes! Incentivizing Strategic Cooperation in Multi-LLM Systems via Sequential Public Goods Games<\/td>Yunhao Liang, Yuan Qu, Jingyuan Yang, Shaochong Lin, Zuo-Jun Shen<\/td>\n<\/tr>\n
The Complexity of Strategic Behavior in Primary Elections<\/td>Colin Cleveland, Bart De Keijzer, Maria Polukarov<\/td>\n<\/tr>\n
Lifted Forward Planning in Relational Factored Markov Decision Processes with Concurrent Actions<\/td>Florian Andreas Marwitz, Tanya Braun, Ralf M\u00c3\u00b6ller, Marcel Gehrke<\/td>\n<\/tr>\n
Flow-Based Task Assignment for Large-Scale Online Multi-Agent Pickup and Delivery<\/td>Yue Zhang, Zhe Chen, Daniel Harabor, Pierre Le Bodic, Peter J. Stuckey<\/td>\n<\/tr>\n
Rejecting Arguments Based on Doubt in Structured Bipolar Argumentation<\/td>Michael A. M\u00c3\u00bcller, Srdjan Vesic, Bruno Yun<\/td>\n<\/tr>\n
Extremely Large Collective Coalition Formation: Scalability<\/td>Neha G. Pusalkar, Julie A. Adams<\/td>\n<\/tr>\n
Metric Distortion in Peer Selection<\/td>Javier Cembrano, Golnoosh Shahkarami<\/td>\n<\/tr>\n
PortfoliQA: An Agentic RAG Framework for Knowledge Graph Question Answering via Structured Evidence Portfolios<\/td>Weina Zhang, Junsheng Huang, Zhongqin Bi, Dan Dai<\/td>\n<\/tr>\n
Efficiently Computing Equilibria in Budget-Aggregation Games<\/td>Patrick Becker, Alexander Fries, Matthias Greger, Erel Segal-Halevi<\/td>\n<\/tr>\n
Temporal Panel Selection in Ongoing Citizens\u00e2\u20ac\u2122 Assemblies<\/td>Yusuf Hakan Kalayci, Evi Micha<\/td>\n<\/tr>\n
Imperfect-Information Games on Quantum Computers: A Case Study in Skat<\/td>Ulrich Armbr\u00c3\u00bcster, Stefan Edelkamp, Gabriel Maresch, Erik Schulze<\/td>\n<\/tr>\n
Teaching an Old Dynamics New Tricks: Regularization-free Last-iterate Convergence in Zero-sum Games via BNN Dynamics<\/td>Tuo Zhang, Leonardo Stella<\/td>\n<\/tr>\n
HyperAgent: Leveraging Hypergraphs for Topology Optimization in Multi-Agent Communication<\/td>Heng Zhang, Yuling Shi, Xiaodong Gu, Zijian Zhang, Haochen You, Lubin Gan, Yilei Yuan, Jin Huang<\/td>\n<\/tr>\n
MA-SafeDiffuser: Safe Multi-Agent Planning with Diffusion Probabilistic Models<\/td>Kiran Ravish, Ankita Kushwaha, Preeti, Pawan Kumar<\/td>\n<\/tr>\n
Disobedience in normative multi-agent systems<\/td>Marija Slavkovik, Liuwen Yu, Leon Van der Torre, R\u00c3\u00a9ka Markovich, Beishui Liao<\/td>\n<\/tr>\n
Finite-State Controllers for (Hidden-Model) POMDPs using Deep Reinforcement Learning<\/td>David Hud\u00c3\u00a1k, Maris F. L. Galesloot, Martin Tappler, Martin Kure\u00c4\u008dka, Nils Jansen, Milan Ceska<\/td>\n<\/tr>\n
VLM-ReG : Vision-Language Models Enhanced via Reward-Refined GRPO in Remote Sensing Reasoning<\/td>Yanzhong Zhou, Biaoxin Li, Zhangling Wang, Chao Wang, Wanpeng Zhang<\/td>\n<\/tr>\n
Learning Truthful Mechanisms without Discretization<\/td>Yunxuan Ma, Steven Wang, Zhijian Duan, Yukun Cheng, Xiaotie Deng<\/td>\n<\/tr>\n
Conformal Reachability for Safe Control in Unknown Environments<\/td>Xinhang Ma, Junlin Wu, Yiannis Kantaros, Yevgeniy Vorobeychik<\/td>\n<\/tr>\n
Perception-Based Beliefs for POMDPs with Visual Observations<\/td>Miriam Sch\u00c3\u00a4fers, Merlijn Krale, Thiago D. Sim\u00c3\u00a3o, Nils Jansen, Maximilian Weininger<\/td>\n<\/tr>\n
A Multi-Robot Architecture for Continuous Planning and Execution using BDI Agents<\/td>Carlos Joel Tavares da Silva, Rafael Melo Santos, Rafael C. Cardoso, C\u00c3\u00a9lia Ghedini Ralha<\/td>\n<\/tr>\n
A Semi-Decentralized Approach to Multiagent Control<\/td>Mahdi Al-Husseini, Mykel Kochenderfer, Kyle Hollins Wray<\/td>\n<\/tr>\n
VEsNA-Pro: Exploiting BDI Agents with Propensities for Emergent Narrative<\/td>Andrea Gatti, Fabio Casale, Viviana Mascardi, Andrea Stucchi, Angelo Ferrando<\/td>\n<\/tr>\n
Solving Repeated Games with Large Language Model<\/td>Naming Liu, Youzhi Zhang, Ying Wen<\/td>\n<\/tr>\n
Information Contagion in Climate-Stressed SME Networks: An Agent-Based Simulation Study<\/td>\u00c4\u0090o\u00c3\u00a0n Minh L\u00c6\u00b0\u00e1\u00bb\u00a3ng, Nguyen Tu Uyen, Duong Thi Phuong Thao, Duong Thu Ngan, Phong Ho, Nhung Duong, Tuan Do<\/td>\n<\/tr>\n
VGC-Bench: Towards Mastering Diverse Team Strategies in Competitive Pok\u00c3\u00a9mon<\/td>Cameron L. Angliss, Jiaxun Cui, Jiaheng Hu, Arrasy Rahman, Peter Stone<\/td>\n<\/tr>\n
Active Evaluation of General Agents: Problem Definition and Comparison of Baseline Algorithms<\/td>Marc Lanctot, Kate Larson, Ian Gemp, Michael Kaisers<\/td>\n<\/tr>\n
Optimizing Pool Testing for Epidemic Surveillance<\/td>Jack Heavey, Abhijin Adiga, Anil Vullikanti<\/td>\n<\/tr>\n
Transparent and Accessible ABMs with FODD: Automatic Code from Formal ODD<\/td>Themis Dimitra Xanthopoulou, Andreas Prinz, Haakon B\u00c3\u00b8thun Lunde, Ivan Puga-Gonzalez, F. LeRon Shults<\/td>\n<\/tr>\n
First-Order and Second-Order Model Counting Meet Stable Marriages, Stable Roommates, and Stable Diners<\/td>V\u00c3\u00a1clav K\u00c5\u00afla, Jan T\u00c3\u00b3th, Yuanhong Wang, Yuyi Wang, Ondrej Kuzelka<\/td>\n<\/tr>\n
Stable Matching: Dealing with Changes in Preferences<\/td>Rohith Reddy Gangam, Tung Mai, Nitya Raju, Vijay Vazirani<\/td>\n<\/tr>\n
RocqStar: Leveraging Similarity-driven Retrieval and Agentic Systems for Rocq generation<\/td>Andrei Kozyrev, Nikita Khramov, Gleb Solovev, Anton Podkopaev<\/td>\n<\/tr>\n
MARLIN: LLM-Guided Multi-Agent Reinforcement Learning with Murmuration Intelligence for Reservoir Management<\/td>Heming Fu, Shan Lin, GUOJUN XIONG<\/td>\n<\/tr>\n
Control in Hedonic Games<\/td>Jiehua Chen, Jakob Guttmann, Merisa Mustajba\u00c5\u00a1i\u00c4\u2021, Sofia Simola<\/td>\n<\/tr>\n
Advancing Multi-Agent RAG system with Minimalist Reinforcement Learning<\/td>Yihong Wu, Liheng Ma, Muzhi Li, Jiaming Zhou, Lei Ding, Jianye HAO, Ho-fung Leung, Irwin King, Yingxue Zhang, Jian-Yun Nie<\/td>\n<\/tr>\n
CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning<\/td>Jiaxun Cui, Chen Tang, Jarrett Holtz, Janice Nguyen, Alessandro G Allievi, Hang Qiu, Peter Stone<\/td>\n<\/tr>\n
The Role of Social Learning and Collective Norm Formation in Fostering Cooperation in LLM Multi-Agent Systems<\/td>Prateek Gupta, Qiankun Zhong, Hiromu Yakura, Thomas F. Eisenmann, Iyad Rahwan<\/td>\n<\/tr>\n
Population synthesis with geographic coordinates<\/td>Jacopo Lenti, Lorenzo Costantini, Ariadna Fosch, Anna Monticelli, David Scala, Marco Pangallo<\/td>\n<\/tr>\n
Interbank Lending Games<\/td>Jinyun Tong, Bart De Keijzer, Haoxiang Wang, Carmine Ventre<\/td>\n<\/tr>\n
A Novel Framework for Uncertainty-Driven Adaptive Exploration<\/td>Leonidas Bakopoulos, Georgios Chalkiadakis<\/td>\n<\/tr>\n
Diverse Mini-Batch Selection in Reinforcement Learning for Efficient Chemical Exploration in de novo Drug Design<\/td>Hampus Gummesson Svensson, Ola Engkvist, Jon Paul Janet, Christian Tyrchan, Morteza Haghir Chehreghani<\/td>\n<\/tr>\n
QDepth-VLA: Quantized Depth Prediction as Auxiliary Supervision for Vision\u00e2\u20ac\u201cLanguage\u00e2\u20ac\u201cAction Models<\/td>Yixuan Li, YUHUI CHEN, Mingcai.Zhou, Haoran Li<\/td>\n<\/tr>\n
MeCo: Enhancing LLM-Empowered Multi-Robot Collaboration via Similar Task Memoization<\/td>Baiqing Wang, Helei Cui, Bo Zhang, Xiaolong Zheng, Bin Guo, Zhiwen Yu<\/td>\n<\/tr>\n
CRAwDAD: Causal Reasoning Augmentation with Dual-Agent Debate<\/td>Finn G. Vamosi, Nils Forkert<\/td>\n<\/tr>\n
Mechanism Design for Efficient Task Allocation<\/td>Zifan Gong, Minming Li, Houyu Zhou<\/td>\n<\/tr>\n
Beyond Self-Interest: Modeling Social-Oriented Motivation for Human-like Multi-Agent Interactions<\/td>Jingzhe Lin, Ceyao Zhang, Yaodong Yang, Yizhou Wang, Song-Chun Zhu, Fangwei Zhong<\/td>\n<\/tr>\n
Learning Robust Markov Models for Safe Runtime Monitoring<\/td>Antonina Skurka, Luko van der Maas, Sebastian Junges, Hazem Torfah<\/td>\n<\/tr>\n
Multi-Agent Cooperative Transportation: Optimal and Efficient Task Allocation and Path Finding<\/td>Ning Zhou, Nikolai W.F. Bode, Edmund R Hunt<\/td>\n<\/tr>\n
ME-IGM: Individual-Global-Max in Maximum Entropy Multi-Agent Reinforcement Learning<\/td>Wentse Chen, Yuxuan Li, Shiyu Huang, Jiayu Chen, Jeff Schneider<\/td>\n<\/tr>\n
EmoDebt: Bayesian-Optimized Emotional Intelligence for Strategic Agent-to-Agent Debt Recovery<\/td>Yunbo Long, Yuhan Liu, Liming Xu, Alexandra Brintrup<\/td>\n<\/tr>\n
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning<\/td>Woojun Kim, Katia P. Sycara<\/td>\n<\/tr>\n
Probing Dec-POMDP Reasoning in Cooperative MARL<\/td>Kale-ab Tessera, Leonard Hinckeldey, Riccardo Zamboni, David Abel, Amos Storkey<\/td>\n<\/tr>\n
Peach: Program Each Agent and Communicate Howsoever<\/td>Amit K. Chopra, Samuel H. Christie V, Munindar P. Singh<\/td>\n<\/tr>\n
The Triad of Identity, Trust and Responsibility in Multi-Agent Systems<\/td>Jayati Deshmukh, Vahid Yazdanpanah, Sebastian Stein, Sarvapali D Ramchurn<\/td>\n<\/tr>\n
Offline Multi-Agent Reinforcement Learning with Global Moderate Generalization<\/td>Yuanrui Duan, Wengang Zhou, Yufeng Shi, Xiancheng Gao, Lin Liu, Houqiang Li<\/td>\n<\/tr>\n
Reasoning About Responsibility for Taking Risks<\/td>Maksim Gladyshev, Natasha Alechina, Mehdi Dastani, Dragan Doder<\/td>\n<\/tr>\n
ATL*AS: An Automata-Theoretic Approach and Tool for the Verification of Strategic Abilities in Multi-Agent Systems<\/td>Sofia Garcia de Blas Garcia-Alcaide, Francesco Belardinelli<\/td>\n<\/tr>\n
Complexity of (Non-)Convergence in Iterative Voting<\/td>Paul W. Goldberg, Marios Mavronicolas, Tomasz W\u0105s<\/td>\n<\/tr>\n
Interpretable Failure Analysis in Multi-Agent Reinforcement Learning Systems<\/td>Risal Shahriar Shefin, Debashis Gupta, Thai Le, Sarra Alqahtani<\/td>\n<\/tr>\n
Learning Bayesian Game Families, with Application to Mechanism Design<\/td>Madelyn Gatchel, Michael P. Wellman<\/td>\n<\/tr>\n
Bandwidth-constrained Variational Message Encoding for Cooperative Multi-agent Reinforcement Learning<\/td>Wei Duan, Jie Lu, En Yu, Junyu Xuan<\/td>\n<\/tr>\n
My Body, My Perceptions: A Shift from Computationalism to Embodied Cognition in BDI-agent-based Embedded Systems<\/td>Nilson Lazarin, Carlos Eduardo Pantoja, Jose Viterbo<\/td>\n<\/tr>\n
AC-MASAC: An Attentive Curriculum Learning Framework for Heterogeneous UAV Swarm Coordination<\/td>Wanhao Liu, Junhong Dai, Yixuan Zhang, Shengyun Yin, Panshuo Li<\/td>\n<\/tr>\n
Can Vibe Coding Beat Graduate CS Students? An LLM vs. Human Coding Tournament on Market-driven Strategic Planning<\/td>Panayiotis Danassis, Naman Goel<\/td>\n<\/tr>\n
Learning from Delay Distributions: A New Representation for Delay-Aware Reinforcement Learning<\/td>Zhuoru Yu, Chenchen Fu, Hengkai Zhong, Wanyuan Wang, Weiwei Wu, Chun Jason Xue<\/td>\n<\/tr>\n
Epistemic Modal Logic Meets Algebraic Model Counting<\/td>Daxin Liu, Vaishak Belle<\/td>\n<\/tr>\n
Unifying Model-Free Efficiency and Model-Based Representations via Latent Dynamics<\/td>Jashaswimalya Acharjee, Balaraman Ravindran<\/td>\n<\/tr>\n
Heterogeneous RBCs via deep multi-agent reinforcement learning<\/td>Federico Gabriele, Aldo Glielmo, Marco Taboga<\/td>\n<\/tr>\n
Beyond Neighbor Influence: A Behavior-Driven Agent-Based Model of Silence<\/td>Ziqian Shi, Rosa M Benito<\/td>\n<\/tr>\n
Exploring Relations among Fairness Notions in Discrete Fair Division<\/td>Jugal Garg, Eklavya Sharma<\/td>\n<\/tr>\n
When is Offline Policy Selection Sample Efficient for Reinforcement Learning?<\/td>Vincent Liu, Prabhat Nagarajan, Andrew Patterson, Martha White<\/td>\n<\/tr>\n
TEACH: Temporal Variance-Driven Curriculum for Reinforcement Learning<\/td>Gaurav Chaudhary, Laxmidhar Behera<\/td>\n<\/tr>\n
Identifying the Source of Information Spread in Networks via Markov Chains<\/td>Yael Sabato, Amos Azaria, Noam Hazon<\/td>\n<\/tr>\n
Heartbeat Synchronization in Large Multi-Agent Systems Using One-Way Communication<\/td>Federico Bergenti, Simone Dallospedale, Stefania Monica<\/td>\n<\/tr>\n
A Unified Framework for Analyzing Meta-algorithms in Online Convex Optimization<\/td>Mohammad Pedramfar, Vaneet Aggarwal<\/td>\n<\/tr>\n
Generating Fair Consensus Statements with Social Choice on Token-Level MDPs<\/td>Carter Blair, Kate Larson<\/td>\n<\/tr>\n
Fairness over Equality: Correcting Social Incentives in Asymmetric Sequential Social Dilemmas<\/td>Alper Demir, H\u00c3\u00bcseyin Ayd\u00c4\u00b1n, Kale-ab Tessera, David Abel, Stefano V. Albrecht<\/td>\n<\/tr>\n
LLMEvalRec: An Agentic Framework for Simulating Users to Evaluate News Recommendation Systems<\/td>Yao Ma, Abhishek Tripathi, Samuel Louvan, Wei Liu, Murat Sensoy<\/td>\n<\/tr>\n
HLSMAC: A New StarCraft Multi-Agent Challenge for High-Level Strategic Decision-Making<\/td>Xingxing Hong, Yungong Wang, Dexin Jin, Ye Yuan, Ximing Huang, Zijian Wu, Yirui Rao, Wenxin Li<\/td>\n<\/tr>\n
A Three-Layer Reinforcement Learning-based Approach for Dynamic Task Allocation Under Multiple Task Resource Constraints<\/td>Shuo Wang, Yuzhen Zhang, Hao Su, Yazhou Hu, Pei Lv<\/td>\n<\/tr>\n
Project Submission Games in Participatory Budgeting<\/td>Piotr Faliszewski, \u00c5\u0081ukasz Janeczko, Andrzej Kaczmarczyk, Grzegorz Lisowski, Grzegorz Pierczy\u00c5\u201eski<\/td>\n<\/tr>\n
Eliminating Inconsistencies among CP-Theory Qualitative Preferences<\/td>Erik Rauer, Samik Basu, Vasant G. Honavar, Jia Tao<\/td>\n<\/tr>\n
EG-RAG: Retrieval-Augmented Generation with Evidence Graph for Reliable Multi-Document Reasoning<\/td>Seunggwan Hong, Junhyung Moon, Eunkyeong Lee, Jaehyoung Park, Hyunseung Choo<\/td>\n<\/tr>\n
Quality-Diversity for Multi-Agent Reinforcement Learning<\/td>Hao Chen, Pengyi Li, Bin Zhang, Hu Fu, Zhiwei Xu, Ce Zhang, Xinyue Lu, Guoliang Fan<\/td>\n<\/tr>\n
UNCAP: Uncertainty-Guided Neurosymbolic Planning Using Natural Language Communication for Cooperative Autonomous Vehicles<\/td>Neel P. Bhatt, Po-han Li, Kushagra Gupta, Rohan Siva, Daniel Milan, Alexander Todd Hogue, Sandeep P. Chinchali, David Fridovich-Keil, Zhangyang Wang, ufuk topcu<\/td>\n<\/tr>\n
Modeling Human Behavior in a Strategic Network Game With Complex Group Dynamics<\/td>Jonathan Berry Skaggs, Jacob Crandall<\/td>\n<\/tr>\n
Strength Change Explanations in Quantitative Argumentation<\/td>Timotheus Kampik, Xiang Yin, Nico Potyka, Francesca Toni<\/td>\n<\/tr>\n
Modelling Customer Trajectories with Reinforcement Learning for Practical Retail Insights<\/td>Ken Ming Lee, Paul Barde, Maxime C. Cohen, Derek Nowrouzezahrai<\/td>\n<\/tr>\n
Online Sensor Grouping via Multi-Agent Learning Automata: An Ising Model Perspective<\/td>Anis Yazidi, Marco Antonio Pinto-Orellana, Youcef Djenouri<\/td>\n<\/tr>\n
Multi UAVs Preflight Planning in a Shared and Dynamic Airspace<\/td>Amath SOW, Mauricio Rodriguez Cesen, Fab\u00c3\u00adola Martins Campos de Oliveira, Mariusz Wzorek, Daniel de Leng, Mattias Tiger, Fredrik Heintz, Christian Esteve Rothenberg<\/td>\n<\/tr>\n
Feasible Constraint Policy Optimization for Safe Reinforcement Learning<\/td>Luoyang Sun, Jiwen Jiang, Ning Yang, Rasul Tutunov, Haifeng Zhang, Jun Wang<\/td>\n<\/tr>\n
Inference of Altruism and Intrinsic Rewards in Multi-Agent Systems<\/td>Victor Villin, Christos Dimitrakakis<\/td>\n<\/tr>\n
The Multi-Agent Off-Switch Game<\/td>Akash Agrawal, Soroush Ebadian, Lewis Hammond<\/td>\n<\/tr>\n
Fluid-Agent Reinforcement Learning<\/td>Shishir Sharma, Doina Precup, Theodore Perkins<\/td>\n<\/tr>\n
Confounding Robust Continuous Control via Automatic Reward Shaping<\/td>Mateo Juliani, Mingxuan Li, Elias Bareinboim<\/td>\n<\/tr>\n
Functional Multi-armed Bandit and the Best Function Identification Problems<\/td>Yuriy Dorn, Aleksandr Katrutsa, Ilgam Latypov, Anastasiia Soboleva<\/td>\n<\/tr>\n
Cleaner Adversarial CAPTCHAs: Intelligent Targets and Precise Noise for Usable Security<\/td>Meir Litman, Chen Hajaj<\/td>\n<\/tr>\n
Translating Latent State World Model Representations into Natural Language<\/td>Matthew Barker, Matteo Leonetti<\/td>\n<\/tr>\n
Online Fair Division With Subsidy: When Do Envy-Free Allocations Exist, and at What Cost?<\/td>Pooja Ravi Kulkarni, Ruta Mehta, Vishnu V. Narayan, Tomasz Ponitka<\/td>\n<\/tr>\n
Towards Foresighted AI Cooperators with LLM-driven Decision-Time Planning<\/td>Yuheng Jing, Kai Li, Bingyun Liu, Ziwen Zhang, Zhe Wu, Yifan Zhang, Junliang Xing, Jian Cheng<\/td>\n<\/tr>\n
Greedy Routing Reachability Games<\/td>Pascal Lenzner, Paraskevi Machaira<\/td>\n<\/tr>\n
Robust Information Design for Multi-Agent Systems with Complementarities: Smallest-Equilibrium Threshold Policies<\/td>Farzaneh Farhadi, Maria Chli<\/td>\n<\/tr>\n
A General Incentives-Based Framework for Fairness in Multi-agent Resource Allocation<\/td>Ashwin Kumar, William Yeoh<\/td>\n<\/tr>\n
Don\u00e2\u20ac\u2122t Blind Your VLA: Aligning Visual Representations for OOD Generalization<\/td>Nikita Kachaev, Mikhail Kolosov, Daniil Zelezetsky, Alexey Kovalev, Aleksandr Panov<\/td>\n<\/tr>\n
Scalable Knothe--Rosenblatt-like Heuristic Transportation Plans for Imaging Problems<\/td>Gennaro Auricchio, Min Lin, Lingxuan Zhou, Zhaori Guo, zhongqi cai<\/td>\n<\/tr>\n
Adaptive Agents in Spatial Double-Auction Markets: Modeling the Emergence of Industrial Symbiosis<\/td>Matthieu Mastio, Benoit Gaudou, Paul Saves, Nicolas Verstaevel<\/td>\n<\/tr>\n
Multi-Agent Pickup and Delivery with Heterogeneous Agents<\/td>Benedetta Flammini, Francesco Amigoni, Bruno Lacerda<\/td>\n<\/tr>\n
Calibrated LRT Guidance for Offline Diffusion Policies<\/td>Ximan Sun, Xiang Cheng<\/td>\n<\/tr>\n
A Generic Framework for Fair Consensus Clustering in Streams<\/td>Diptarka Chakraborty, Kushagra Chatterjee, Debarati Das, Tien-Long Nguyen<\/td>\n<\/tr>\n
Fairness in Cooperative Multi-objective Multi-agent Reinforcement Learning using Expected Utility<\/td>Fares Chouaki, Aur\u00c3\u00a9lie Beynier, Nicolas Maudet, Paolo Viappiani<\/td>\n<\/tr>\n
Kidney Exchange: Faster Parameterized Algorithms and Tighter Lower Bounds<\/td>Palash Dey, Aritra Banik, Abhishek Sahu, Sujoy Bhore<\/td>\n<\/tr>\n
CentaurMD: Confidence-Aware Human\u00e2\u20ac\u201cAI Decision Fusion for Multi-Label Disease Diagnosis via Label-Specific MoE<\/td>Youcheng Zhang, Hui Wang, Jiaqi Liu, Yao Zhang, Zhiwen Yu, Bin Guo<\/td>\n<\/tr>\n
MEASE: Multi-agent Episodic Action Sequence Explanation<\/td>Khaing Phyo Wai, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan<\/td>\n<\/tr>\n
Neuro-symbolic Action Masking for Deep Reinforcement Learning<\/td>Shuai Han, Mehdi Dastani, Shihan Wang<\/td>\n<\/tr>\n
LLM-augmented empirical game theoretic simulation for socio-ecological systems<\/td>Jennifer Shi, Christopher K. Frantz, Christian Kimmich, Saba Siddiki, Atrisha Sarkar<\/td>\n<\/tr>\n
Solving Qualitative Multi-Objective Stochastic Games<\/td>Moritz Graf, Anthony Widjaja Lin, R Majumdar<\/td>\n<\/tr>\n
MENSA: Leveraging Mental Simulation for In-Context Policy Improvement in LLM Agents<\/td>Chung-Che Chang, Erick Chandra, Jane Yung-jen Hsu, Yen-Ling Kuo<\/td>\n<\/tr>\n
Truthful Reporting of Competence with Minimal Verification<\/td>Reshef Meir, Jonathan Wagner, Omer Ben-Porat<\/td>\n<\/tr>\n
Robust Sequential Learning in Random Order Networks<\/td>William Guo, Edward Xiong, Jie Gao<\/td>\n<\/tr>\n
Delayed Assignments in Online Non-Centroid Clustering with Stochastic Arrivals<\/td>Saar Cohen<\/td>\n<\/tr>\n
TriBand-BEV: Real-Time LiDAR-Only 3D Pedestrian Detection via Height-Aware BEV and High-Resolution Feature Fusion<\/td>Mohammad Khoshkdahan, Alexey Vinel<\/td>\n<\/tr>\n
A Radius-Sensitive Approximation Algorithm for Connected Submodular Maximization<\/td>Philip Cervenjak, Junhao Gan, Naonori Kakimura, Seeun William Umboh, Anthony Wirth<\/td>\n<\/tr>\n
Dynamic Action Space Reinforcement Learning for Optimal Trading Execution<\/td>Pangjing Wu, Xiaodong Li<\/td>\n<\/tr>\n
Multi-Objective Categorical Deep Q-Networks<\/td>Fares Chouaki, Aur\u00c3\u00a9lie Beynier, Nicolas Maudet, Paolo Viappiani<\/td>\n<\/tr>\n
Peer-Aware Cost Estimation in Nonlinear General-Sum Dynamic Games for Mutual Learning and Intent Inference<\/td>Seyed Yousef Soltanian, Wenlong Zhang<\/td>\n<\/tr>\n
Risk-aware Flow Tuning for Collective Emotion in Social Media via Multi-agent RL<\/td>Ruyi Wang, R L Hill, J. Michael Herrmann<\/td>\n<\/tr>\n
Wallet ATL: Towards Reliable Smart Contract Verification<\/td>Angelo Ferrando, Blondelle Kana Zanlefack, Vadim Malvone<\/td>\n<\/tr>\n
Planning Ahead with RSA: Efficient Signalling in Dynamic Environments by Projecting User Awareness across Future Timesteps<\/td>Anwesha Das, John Duff, J\u00c3\u00b6rg Hoffmann, Vera Demberg<\/td>\n<\/tr>\n
STO-RL: OFFLINE RL UNDER SPARSE REWARDS VIA LLM-GUIDED SUBGOAL TEMPORAL ORDER<\/td>Chengyang GU, Yuxin Pan, Hui Xiong, Yize Chen<\/td>\n<\/tr>\n
Puzzle it Out: Local-to-Global World Model for Offline Multi-Agent Reinforcement Learning<\/td>Sijia Li, Xinran Li, Shibo Chen, Jun Zhang<\/td>\n<\/tr>\n
The Agency Circuit: A Neuro-Symbolic Solution for Mitigating Policy Collapse in Reinforcement Learning<\/td>Mahnoor Shahid<\/td>\n<\/tr>\n
Utility Aware Adaptive Privacy Budget Allocation for Streaming Multi-Agent Systems<\/td>Puspanjali Ghoshal, Ashok Singh Sairam<\/td>\n<\/tr>\n
Universal Solvability for Robot Motion Planning on Graphs<\/td>Anubhav Dhar, Pranav Nyati, Tanishq Prasad, Ashlesha Hota, Sudeshna Kolay<\/td>\n<\/tr>\n
Modifying Preferences and Capacities for Stability in Flow Networks: Algorithms and Complexity<\/td>Gergely Cs\u00c3\u00a1ji, Kitti Varga<\/td>\n<\/tr>\n
Human-Inspired Context-Selective Multimodal Memory for Social Robots<\/td>Hangyeol Kang, Slava Voloshynovskiy, Nadia Thalmann<\/td>\n<\/tr>\n
A Hierarchical Approach with Crisis Mitigation for Multi-Robot Spatio-Temporal Restoration<\/td>Amel Nestor Docena, Alberto Quattrini Li<\/td>\n<\/tr>\n
From User Preferences to Base Score Extraction Functions in Gradual Argumentation<\/td>Aniol Civit, Antonio Rago, Antonio Andriella, Guillem Aleny\u00c3, Francesca Toni<\/td>\n<\/tr>\n
Modeling and Optimizing the Provisioning of Exhaustible Capabilities for Simultaneous Task Allocation and Scheduling<\/td>Jinwoo Park, Harish Ravichandar, Seth Hutchinson<\/td>\n<\/tr>\n
End-to-End Decision-Focused Prediction in Dynamic Bike-Sharing Rebalancing<\/td>Pengbo Fu, Chongyang Wan, Yuan Luo<\/td>\n<\/tr>\n
EFX Allocations Exist on Triangle-Free Multi-Graphs<\/td>Mahyar Afshinmehr, Arash Ashuri, Pouria Mahmoudkhan, Kurt Mehlhorn<\/td>\n<\/tr>\n
Wisdom of the Machines: Exploring Collective Intelligence in LLM Crowds<\/td>Yashar Talebirad, Ali Parsaee, Vishwajeet Ohal, Amirhossein Nadiri, Csongor Szepesvari, Yash Mouje, Eden Redman<\/td>\n<\/tr>\n
Majoritarian Assignment Rules<\/td>Felix Brandt, Haoyuan Chen, Chris Dong, Patrick Lederer, Alexander Schlenga<\/td>\n<\/tr>\n
Modeling Dynamics under Random Delays in Reinforcement Learning<\/td>Bokai Ji, Guangxia Li, Yulong Shen<\/td>\n<\/tr>\n
Synthesis and Evaluation of Long-term History-aware Medical Dialogue<\/td>Hebin Hu, Renke Dai, Ah-Hwee Tan, Yilin Kang<\/td>\n<\/tr>\n
Stigmergic Swarming Agents for Fast Subgraph Isomorphism<\/td>H. Van Dyke Parunak<\/td>\n<\/tr>\n
Ratio-Based Signaling for Source-Victim Separation in Swarm Fault Detection<\/td>Longyin Cui<\/td>\n<\/tr>\n
From Actions to Words: Towards Abstractive-Textual Policy Summarization in RL<\/td>Sahar Admoni, Assaf Hallak, Yftah Ziser, Omer Ben-Porat, Ofra Amir<\/td>\n<\/tr>\n
Contrastive explanations of BDI agents<\/td>Michael Winikoff<\/td>\n<\/tr>\n
IMAS$^2$: Joint Agent Selection and Information-Theoretic Coordinated Perception In Dec-POMDPs<\/td>Chongyang Shi, Wesley A. Suttle, Michael Dorothy, Jie Fu<\/td>\n<\/tr>\n
Scaling Multi-Agent Epistemic Planning through GNN-Derived Heuristics<\/td>Giovanni Briglia, Francesco Fabiano, Stefano Mariani<\/td>\n<\/tr>\n
ReGMS: Retrieval\u00e2\u20ac\u2018Grounded Multi\u00e2\u20ac\u2018Agent Scenario Analysis for Climate Risk<\/td>Yun Wing Kiang, King Hang LAM<\/td>\n<\/tr>\n
Coherent belief and opinion propagation produces more echo chambers<\/td>Hiro Kataoka, J\u00c3\u00a9r\u00c3\u00b4me Euzenat, Koji Hasebe<\/td>\n<\/tr>\n
Algorithmic Collusion at Test Time: A Meta-game Design and Evaluation<\/td>Yuhong Luo, Daniel Schoepflin, Xintong Wang<\/td>\n<\/tr>\n
RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning<\/td>Jinrui Liu, Bingyan Nie, Boyu Li, Yaran Chen, Yuze Wang, Shunsen He, Haoran Li<\/td>\n<\/tr>\n
SAT: Sequential Agent Tuning for Coordinator\u00e2\u20ac\u2018Free Plug\u00e2\u20ac\u2018and\u00e2\u20ac\u2018Play Multi\u00e2\u20ac\u2018LLM Training with Monotonic Improvement Guarantees<\/td>Yi Xie, Yangyang Xu, Yi Fan, Bo Liu<\/td>\n<\/tr>\n
Flexibility-Based Traffic Flow Optimisation in Lifelong Multi-Agent Path Finding<\/td>Peiqian Lin, Zhe Chen, David L. Dowe, Daniel Harabor<\/td>\n<\/tr>\n
Axiomatic Foundations of Counterfactual Explanations<\/td>Leila Amgoud, Martin C. Cooper<\/td>\n<\/tr>\n
The Reachability Objective in Multi-Agent Path Finding<\/td>Noy Gabay, Jonathan Morag, Ariel Felner, Roni Stern<\/td>\n<\/tr>\n
Approximating Nash Equilibria in General-Sum Games via Meta-Learning<\/td>David Sychrovsk\u00c3\u00bd, Christopher Solinas, Revan MacQueen, Kevin A. Wang, James R. Wright, Nathan R. Sturtevant, Michael Bowling<\/td>\n<\/tr>\n
Heterogeneity in Multi-Agent Reinforcement Learning<\/td>Tianyi Hu, Zhiqiang Pu, Yuan Wang, Tenghai Qiu, Min Chen, Xin Yu<\/td>\n<\/tr>\n
Towards Failure-Resilient Lifelong Learning Agents through Scene Graph-Guided Proactive Replanning<\/td>Che Rin Yu, Daewon Chae, Dabin Seo, Sangwon Lee, Hyeongwoo IM, Jinkyu Kim<\/td>\n<\/tr>\n
PREFINE: Preference-based Implicit Reward and Cost Fine-tuning for Safety Alignment<\/td>Richa Verma, Bavish Kulur, Sanjay Chawla, Balaraman Ravindran<\/td>\n<\/tr>\n
Equitable Core Imputations for Max-Flow, MST and $b$-Matching Games<\/td>Rohith Reddy Gangam, Naveen Garg, Parnian Shahkar, Vijay Vazirani<\/td>\n<\/tr>\n
Enhancing Goal Inference via Correction Timing<\/td>Anjiabei Wang, Shuangge Wang, Tesca Fitzgerald<\/td>\n<\/tr>\n
Robust Value Maximization in Challenge the Champ Tournaments with Probabilistic Outcomes<\/td>Umang Bhaskar, Juhi Chaudhary, Sushmita Gupta, Pallavi Jain, Sanjay Seetharaman<\/td>\n<\/tr>\n
Maximin Shares with Lower Quotas<\/td>Hirota Kinoshita, Ayumi Igarashi<\/td>\n<\/tr>\n
Multiagent System for Dynamic Multicriteria Traffic Routing in Urban Environments<\/td>Temirlan Kurbanov, Ad\u00c3\u00a9la Kub\u00c3\u00adkov\u00c3\u00a1, Jiri Vokrinek, Franziska Kl\u00c3\u00bcgl<\/td>\n<\/tr>\n
Byzantine Fault Tolerance in Distributed Constraint Optimization Problems<\/td>Koji Noshiro, Koji Hasebe<\/td>\n<\/tr>\n
Smooth Routing in Decaying Trees<\/td>Till Fluschnik, Amela Pucic, Malte Renken<\/td>\n<\/tr>\n
Online Learning of Numeric Action Models for Planning<\/td>Argaman Mordoch, Yarin Benyamin, Shahaf S. Shperberg, Brendan Juba, Roni Stern<\/td>\n<\/tr>\n
A Survey Of Reinforcement Learning For Autonomous Air Combat: Current Progresses And Limitations<\/td>Alex Pierron, Thibault Lahire<\/td>\n<\/tr>\n
Retrieval and Argumentation Enhanced Multi-Agent LLMs for Judgmental Forecasting<\/td>Deniz Gorur, Antonio Rago, Francesca Toni<\/td>\n<\/tr>\n
Fair Coordination in Strategic Scheduling<\/td>Wei-Chen Lee, Martin Bullinger, Alessandro Abate, Michael J. Wooldridge<\/td>\n<\/tr>\n
Automatically Benchmarking LLM Code Agents through Agent-driven Annotation and Evaluation<\/td>Lingyue Fu, Bolun Zhang, Hao Guan, Yaoming Zhu, Lin Qiu, Weiwen Liu, Xuezhi Cao, Xunliang Cai, Weinan Zhang, Yong Yu<\/td>\n<\/tr>\n
GroupDebate: Enhancing the Efficiency of Multi-Agent Debate Using Group Discussion<\/td>Tongxuan Liu, Xingyu Wang, Weizhe Huang, Wenjiang Xu, Yuting Zeng, Lei Jiang, Hailong Yang, Jing Li<\/td>\n<\/tr>\n
PIQL: Projective Implicit Q-Learning with Support Constraint for Offline Reinforcement Learning<\/td>Xinchen Han, Hossam Afifi, Michel Marot<\/td>\n<\/tr>\n
Assessing VLM-Driven Semantic-Affordance Inference for Non-Humanoid Robot Morphologies<\/td>Rob Jones, Sabine Hauert, Raul Santos-Rodriguez<\/td>\n<\/tr>\n
Multi-Agent Decision S4: Leveraging State Space Models for Offline Multi-Agent Reinforcement Learning<\/td>Ashmita Bhattacharya, Malyaban Bal<\/td>\n<\/tr>\n
Learning Robust Policy for Multi-UAV Collision Avoidance via Compact Causal Feature<\/td>Zhun Fan, Gaofei Han, Che Lin, Wenji Li, jie xu, Jiafan Zhuang<\/td>\n<\/tr>\n
Follow the STARs: Dynamic $\\omega$-Regular Shielding of Learned Probabilistic Policies<\/td>Ashwani Anand, Satya Prakash Nayak, Ritam Raha, Anne-Kathrin Schmuck<\/td>\n<\/tr>\n
KAN-Enhanced Graph Learning for Active Voltage Control in Dynamic Power Systems<\/td>Liqian Sun, Hang Xiao, Shuhan Qi, Huale Li, Jiajia Zhang, Xuan Wang<\/td>\n<\/tr>\n
SESiL: Social, Evolutionary Supported Learning<\/td>Tianshu Zhao, Zinovi Rabinovich<\/td>\n<\/tr>\n
BusEnv: A Multi-agent Reinforcement Learning Environment and Benchmark for Urban Public Transportation<\/td>WESLEY DA SILVA E SILVA, RICARDO RIOS, RAFAEL DA COSTA FONSECA, Sabarikirishwaran Ponnambalam, L\u00c3\u00a9a Cass\u00c3\u00a9, Marcos Vin\u00c3\u00adcius dos Santos Ferreira, Albert Bifet, Tatiane Nogueira Rios<\/td>\n<\/tr>\n
IPD: Boosting Sequential Policy with Imaginary Planning Distillation in Offline Reinforcement Learning<\/td>Yihao Qin, Yuanfei Wang, Hang Zhou, Peiran Liu, Hao Dong, Yiding Ji<\/td>\n<\/tr>\n
Dynamically Increasing Agents Set-Size in Bayesian Multi-agent Multi-armed Bandits Framework<\/td>Mohammad ESSA Alsomali, Leandro Soriano Marcolino, Barry Porter, Roberto Rodrigues-Filho<\/td>\n<\/tr>\n
GAPS: Global-Aware Prediction-driven Scheduling for Large-Scale LLM Inference<\/td>Zhengyu Liu, Fan Zhang, Fengzhe Zhang, Shuaikang Hou<\/td>\n<\/tr>\n
Fair Allocation of Improvements: When Old Endowments Shape New Assignments<\/td>Noga Klein Elmalem, Rica Gonen, Erel Segal-Halevi<\/td>\n<\/tr>\n
MORL4Water: A Modular Multi-Objective Reinforcement Learning Toolkit for Water Resource Management<\/td>Zuzanna Osika, Roxana R\u00c4\u0192dulescu, Jazmin Zatarain Salazar, Frans A Oliehoek, Pradeep K. Murukannaiah<\/td>\n<\/tr>\n
Minimax and Preferential Almost-Stable Matchings<\/td>Frederik Glitzner, David Manlove<\/td>\n<\/tr>\n
Global Convergence to Nash Equilibrium in Nonconvex General-Sum Games under the $n$-Sided PL Condition<\/td>Yutong Chao, Jalal Etesami<\/td>\n<\/tr>\n
QD-MAPPER: A Quality Diversity Framework to Automatically Evaluate Multi-Agent Path Finding Algorithms in Diverse Maps<\/td>Cheng Qian, Yulun Zhang, Varun Bhatt, Matthew Christopher Fontaine, Stefanos Nikolaidis, Jiaoyang Li<\/td>\n<\/tr>\n
Token-level Advantage Policy Optimization from Negative Feedback in Multi-Turn Agents<\/td>Xufeng Zhou, Linjing Li, Daniel Dajun Zeng<\/td>\n<\/tr>\n
Outer Diversity of Structured Domains<\/td>Piotr Faliszewski, Krzysztof Sornat, Stanis\u00c5\u201aaw Szufa, Tomasz W\u0105s<\/td>\n<\/tr>\n
Population size effects on strategic classification dynamics<\/td>Marta C. Couto, Flavia Barsotti, Fernando P. Santos<\/td>\n<\/tr>\n
On the Fair Allocation to Asymmetric Agents with Binary XOS Valuations<\/td>Ziheng Chen, Bo Li, Zihan Luo, Jialin Zhang<\/td>\n<\/tr>\n
Stable Marriage on Networks<\/td>Miao Li, Xinwei Song, Dengji Zhao<\/td>\n<\/tr>\n
Stability in Online Assignment Games<\/td>Emile Martinez, Felipe Garrido-Lucero, Umberto Grandi<\/td>\n<\/tr>\n
Synthesis of Safety Specifications for Probabilistic Systems<\/td>Gaspard Ohlmann, Edwin Hamel-de le Court, Francesco Belardinelli<\/td>\n<\/tr>\n
Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings<\/td>Zhizun Wang, David Meger<\/td>\n<\/tr>\n
Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success<\/td>George Bredis, Stanislav Dereka, Viacheslav Sinii, Ruslan Rakhimov, Daniil Gavrilov<\/td>\n<\/tr>\n
D\u00c2\u00b3MAS: Decompose, Deduce, and Distribute for Enhanced Knowledge Sharing in Multi-Agent Systems<\/td>Heng Zhang, Yuling Shi, Xiaodong Gu, Haochen You, Zijian Zhang, Lubin Gan, Yilei Yuan, Jin Huang<\/td>\n<\/tr>\n
On Angels and Demons: Strategic (De)Construction of Dynamic Models<\/td>davide catta, Rustam Galimullin, Munyque Mittelmann<\/td>\n<\/tr>\n
Obnoxious Facility Location Problems: Strategyproof Mechanisms Optimizing $L_p$-Aggregated Utilities and Costs<\/td>Hau Chan, Jianan Lin, Chenhao Wang<\/td>\n<\/tr>\n
General Dynamic Goal Recognition using Goal-Conditioned and Meta Reinforcement Learning<\/td>Osher Elhadad, Owen Morrissey, Reuth Mirsky<\/td>\n<\/tr>\n
Feature-based Uncertainty Model for School Choice<\/td>Yao Zhang, Makoto Yokoo<\/td>\n<\/tr>\n
Enabling User Agency in Scalable Content Recommendations with Large Language Models<\/td>Yucheng Li, Gerrit J.J. Van den Burg, Wei Liu, Zhunxuan Wang, Abhishek Tripathi, Murat Sensoy<\/td>\n<\/tr>\n
Reconstructing Network Outbreaks under Group Surveillance<\/td>Ritwick Mishra, Abhijin Adiga, Anil Vullikanti<\/td>\n<\/tr>\n
IntRec: Intent-based Retrieval with Contrastive Refinement<\/td>Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Yue Lu<\/td>\n<\/tr>\n
Parallelized Planning-Acting for Multi-Agent LLM Systems in Minecraft<\/td>Yaoru Li, Shunyu Liu, Tongya Zheng, Li Sun, Mingli Song<\/td>\n<\/tr>\n
Computational Aspects of Plan-Dependent Model Equivalence: The Case of Knowing-How Bisimulations<\/td>Carlos Areces, Raul Fervari, Antonio Mondejar<\/td>\n<\/tr>\n
ReAcTree: Hierarchical LLM Agent Trees with Control Flow for Long-Horizon Task Planning<\/td>Jae-Woo Choi, Hyungmin Kim, Hyobin Ong, Youngwoo Yoon, Minsu Jang, DohyungKim, Jaehong Kim<\/td>\n<\/tr>\n
PyVRP$^{+}$: LLM-Driven Metacognitive Heuristic Evolution for Hybrid Genetic Search in Vehicle Routing Problems<\/td>Manuj Malik, Jianan Zhou, Shashank Reddy Chirra, Zhiguang Cao<\/td>\n<\/tr>\n
Maximizing the Egalitarian Welfare in Friends and Enemies Games<\/td>Edith Elkind, Michele Flammini, Giovanna Varricchio<\/td>\n<\/tr>\n
Relationships and Connections between Definitions of Metric Proportional Representation<\/td>Yusuf Hakan Kalayci, David Kempe<\/td>\n<\/tr>\n
The Landscape of Almost Equitable Allocations<\/td>Hadi Hosseini, Vishwa Prakash HV, Aditi Sethia, Jatin Yadav<\/td>\n<\/tr>\n
Fair Division under Laminar Matroid Constraints for Three Agents<\/td>Sarfaraz Equbal<\/td>\n<\/tr>\n
Integrating Counterfactual Simulations with Language Models for Explaining Multi-Agent Behaviour<\/td>Balint Gyevnar, Christopher G. Lucas, Stefano V. Albrecht, Shay B Cohen<\/td>\n<\/tr>\n
AltNet: Addressing the Plasticity-Stability Dilemma in Reinforcement Learning<\/td>Mansi Maheshwari, John C. Raisbeck, Bruno Castro da Silva<\/td>\n<\/tr>\n
Necessary President in Elections with Parties<\/td>Katar\u00c3\u00adna Cechl\u00c3\u00a1rov\u00c3\u00a1, Ildik\u00c3\u00b3 Schlotter<\/td>\n<\/tr>\n
Clone-Robust Weights in Metric Spaces: Handling Redundancy Bias in Benchmark Aggregation<\/td>Damien Berriaud, Roger Wattenhofer<\/td>\n<\/tr>\n
Developing Guidelines for Human-LLM Agent Teams: A Multi-Stakeholder Lens<\/td>Mireia Yurrita, Davide Dell'Anna, Pradeep K. Murukannaiah, Catholijn M Jonker, Pinar Yolum<\/td>\n<\/tr>\n
DEpiABS: Differentiable Epidemic Agent-Based Simulator<\/td>Zhijian Gao, Shuxin Li, Bo An<\/td>\n<\/tr>\n
On-line Learning in Tree MDPs by Treating Policies as Bandit Arms<\/td>Anvay Shah, Ramsundar Anandanarayanan, Sharayu Moharir, Shivaram Kalyanakrishnan<\/td>\n<\/tr>\n
Dual-Enhanced Model-Based Policy Optimization: Dynamic Bias-Shift Tradeoff and Adaptive Bidirectional Rollout<\/td>Yuetian Wang, Dianxi Shi, Huanhuan Yang, Yuanze Wang, Shiming Song, Chunping Qiu<\/td>\n<\/tr>\n
MAStitch: Unifying Local and Global Perspectives for Anomaly Detection in Multi-Agent Systems<\/td>Lior Waknin, Yarin Yerushalmi Levi, Ron Solomon, Jaidip Kotak, Amit Giloni, Chiara Picardi, Roman Vainshtein, Yuval Elovici, Asaf Shabtai<\/td>\n<\/tr>\n
Reducing Overestimation by Measuring Critic Disagreement in Multi-Critics Architectures<\/td>Nitsan Soffair, Gilad Katz<\/td>\n<\/tr>\n
Large Language Models for Designing Participatory Budgeting Rules<\/td>Nguyen T Thach, Xingchen Sha, Hau Chan<\/td>\n<\/tr>\n
Distributed Quantum Gaussian Processes for Multi-Agent Systems<\/td>Meet Gandhi, George P. Kontoudis<\/td>\n<\/tr>\n
Constrained Multi-Agent Reinforcement Learning with MAF-Net for Safe Trajectory Planning<\/td>Bizhao Pang, Mingcheng Zhang, Xinting Hu, Thinh Pham, sameer alam, Guglielmo Lulli<\/td>\n<\/tr>\n
Timing the Message: Language-Based Notifications for Time-Critical Assistive Settings<\/td>Ya-Chuan Hsu, Jonathan DeCastro, Andrew Silva, Guy Rosman<\/td>\n<\/tr>\n
Beyond Outcome-Based Imperfect-Recall: Higher-Resolution Abstractions for Imperfect-Information Games<\/td>Yanchang Fu, Qiyue Yin, Shengda Liu, Pei Xu, Kaiqi Huang<\/td>\n<\/tr>\n
Reputation as a Solution to Cooperation Collapse in LLM-based MASs<\/td>Siyue Ren, Wanli Fu, Xinkun Zou, Chen Shen, Yi Cai, Chu chen, Zhen Wang, Shuyue Hu<\/td>\n<\/tr>\n
Sim2Sea: Sim-to-Real Policy Transfer for Maritime Vessel Navigation in Congested Waters<\/td>Xinyu Cui, Xuanfa Jin, Xue Yan, Yongcheng Zeng, Luoyang Sun, Wei Siying, Ruizhi Zhang, Jian Zhao, Haifeng Zhang, Jun Wang<\/td>\n<\/tr>\n
Procedural Knowledge Improves Agentic LLM Workflows<\/td>Vincent Hsiao, Mak Roberts, Leslie N. Smith<\/td>\n<\/tr>\n
Think Fast! Learning to Control Online Reasoning in Stochastic Environments<\/td>Matthew Budd, Bruno Lacerda, Nick Hawes<\/td>\n<\/tr>\n
GLEAR: A Graph Logic-Enhanced RAG Framework for Legal QA<\/td>Jingyun Sun, Jiaming Tian, Jie Shi, Yixin Zhang, Wenxi Sheng, Yang Li<\/td>\n<\/tr>\n
Robust autobidding for noisy conversion prediction models<\/td>Andrey Pudovikov, Khirianova Alexandra, Ekaterina Solodneva, Gleb Molodtsov, Aleksandr Katrutsa, Yuriy Dorn, Egor Samosvat<\/td>\n<\/tr>\n
Hierarchical Reward Design from Language: Enhancing Alignment of Agent Behavior with Human Specifications<\/td>Zhiqin Qian, Ryan Diaz, Sangwon Seo, Vaibhav Unhelkar<\/td>\n<\/tr>\n
Generalized Per-Agent Advantage Estimation for Multi-Agent Policy Optimization<\/td>Seongmin Kim, Giseung Park, Woojun Kim, Jiwon Jeon, Seungyul Han, Youngchul Sung<\/td>\n<\/tr>\n
AutoMETA: A Multi-Agent LLM System for Autonomous Meta-Analysis<\/td>Kunhee Ryu, Keeheon Lee<\/td>\n<\/tr>\n
Learning to maintain safety through expert demonstrations in settings with unknown constraints: A Q-learning perspective.<\/td>George Papadopoulos, George Vouros<\/td>\n<\/tr>\n
On Minimal Achievable Quotas in Multiwinner Voting<\/td>Patrick Becker, Fabian Frank<\/td>\n<\/tr>\n
Truthful Reverse Auctions for Adaptive Selection via Contextual Multi-Armed Bandits<\/td>Pronoy Patra, Sankarshan Damle, Manisha Padala, Sujit Gujar<\/td>\n<\/tr>\n
Participation Incentives in Online Cooperative Games<\/td>Haris Aziz, Yuhang Guo, Zhaohong Sun<\/td>\n<\/tr>\n
UAM-MARL: Uncertainty-Aware Modality-Enhanced Multi-Agent Reinforcement Learning with LLM-Guided Graph Policies<\/td>Zichen Song, Weijia Li<\/td>\n<\/tr>\n
Building Large-Scale Drone Defenses from Small-Team Strategies<\/td>Grant Douglas, Stephen Franklin, Claudia Szabo, Mingyu Guo<\/td>\n<\/tr>\n
Theory of Mind Guided Strategy Adaptation for Zero-Shot Coordination<\/td>Andrew Ni, Simon Stepputtis, Stefanos Nikolaidis, Michael Lewis, Katia P. Sycara, Woojun Kim<\/td>\n<\/tr>\n
Guiding Neuro-Symbolic Scenario Generation with Spatio-Temporal Logic<\/td>Lorenzo Bonin, Francesco Giacomarra, Luca Bortolussi, Jyotirmoy V. Deshmukh, Francesca Cairoli<\/td>\n<\/tr>\n
MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents<\/td>Simon Rosen, Siddarth Singh, Ebenezer Gelo, Helen Robertson, Ibrahim Suder, Victoria Williams, Benjamin Rosman, Geraud Nangue Tasse, Steven James<\/td>\n<\/tr>\n
Beyond Vibe Decision Theory: Asymmetric Manipulation Vulnerabilities in LLM Multi-Agent Coordination<\/td>Sukanya Krishna, Tobin South<\/td>\n<\/tr>\n
Bi-Level Policy Optimization with Nystr\u00c3\u00b6m Hypergradients<\/td>Arjun Prakash, Naicheng He, Denizalp Goktas, Amy Greenwald<\/td>\n<\/tr>\n
Placing Green Bridges Optimally, with Close-Range Habitats in Sparse Graphs<\/td>Christian Wallisch, Till Fluschnik, Leon Kellerhals<\/td>\n<\/tr>\n
SIGMAS: Second-Order Interaction-based Grouping for Overlapping Multi-Agent Swarms<\/td>Minah Lee, Saibal Mukhopadhyay<\/td>\n<\/tr>\n
Efficiently Computing Approximate Nash Equilibria in Multi-Adversarial Team Games<\/td>Prasanna Maddila, R\u00c3\u00a9gis Sabbadin, Meritxell Vinyals<\/td>\n<\/tr>\n
The Facility Location Problem with Aleatory Agents<\/td>Gennaro Auricchio, Jie Zhang<\/td>\n<\/tr>\n
Deception and Communication in Autonomous Multi-Agent Systems: An Experimental Study with Among Us<\/td>Maria Milkowski, Tim Weninger<\/td>\n<\/tr>\n
Team of Rivals: Hierarchical Deep Reinforcement Learning and Behavior Cloning for Multiplayer Poker<\/td>Avishag Shapira, Ido Rom, Asaf Shabtai, Gilad Katz<\/td>\n<\/tr>\n
DELL: Dual-Knowledge Enhanced LLMs for Precise Decision Making in Healthcare<\/td>Danying Mo, Chao Yu, Xuan Lin, Zhongqi Wu, Yuheng Luo, Chen Bai, Chaojin Chen<\/td>\n<\/tr>\n
Learning Hierarchical Procedural Memory for LLM Agents through Bayesian Selection and Contrastive Refinement<\/td>Saman Forouzandeh, Wei Peng, Parham Moradi, Xinghuo Yu, Mahdi Jalili<\/td>\n<\/tr>\n
SocraticAgent: An Autonomous Agent for Unlocking Latent Knowledge in LLMs<\/td>Yang Yan, Yu Lu, Renjun Xu, Zhenzhong Lan<\/td>\n<\/tr>\n
Bons-AI: An Agent-Based Model to evaluate the behavior of bonsai grower according to different levels of communication and experience<\/td>Sara Saori Satake, Guilherme Henrique de Souza Nakahata, Claus Aranha<\/td>\n<\/tr>\n
DR2: Revisiting Visual Reinforcement Learning from the Dimensional Analysis Perspective<\/td>Chuxiong Sun, Jinli Chen, Zehua Zang, Jiangmeng Li, Rui Wang, Changwen Zheng<\/td>\n<\/tr>\n
Conflict-Based Search for Multi Agent Path Finding with Asynchronous Actions<\/td>Xuemian Wu, Shizhe Zhao, Zhongqiang Ren<\/td>\n<\/tr>\n
Sample-Efficient Policy Space Response Oracles with Joint Experience Best Response<\/td>Ariyan Bighashdel, Thiago D. Sim\u00c3\u00a3o, Frans A Oliehoek<\/td>\n<\/tr>\n
Social Welfare Maximization in Approval-Based Committee Voting under Uncertainty<\/td>Haris Aziz, Yuhang Guo, venkateswara Rao Kagita, Baharak Rastegari, Mashbat Suzuki<\/td>\n<\/tr>\n
Robustness of Stable Matchings When Attributes and Salience Determine Preferences<\/td>Amit Ronen, S. S. Ravi, Sarit Kraus<\/td>\n<\/tr>\n
Individual Rationality in Constrained Hedonic Games: Additively Separable and Fractional Preferences<\/td>Foivos Fioravantes, Harmender Gahlawat, Nikolaos Melissinos, \u00c5\u00a0imon Schierreich<\/td>\n<\/tr>\n
Node-Level Federated Learning with Adaptive Personalized Aggregation for Spatio-Temporal Traffic Prediction<\/td>Xiaoying Tu, Ying Lin, Xingjian Lu, Yibing Wang, Bo Hu<\/td>\n<\/tr>\n
LLM Performance Predictors: Learning When to Escalate in Hybrid Human-AI Moderation Systems<\/td>Or Bachar, Or Levi, Sardhendu Mishra, Adi Levi, Manpreet Singh Minhas, Justin Miller, Omer Ben-Porat, Eilon Sheetrit, Jonathan Morra<\/td>\n<\/tr>\n
Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation<\/td>Aja Khanal, Kaushik Tushar Ranade, Rishabh Agrawal, Kalyan Shankar Basu, Apurva Narayan<\/td>\n<\/tr>\n
Alternating-Time Temporal Logic with Dependent Strategies<\/td>Jessica L. Newman, Enrico H. Gerding, Enrico Marchioni, Baharak Rastegari<\/td>\n<\/tr>\n
Issues with measuring task complexity via random policies in robotic tasks<\/td>Reabetswe M. Nkhumise, Mohamed S. Talamali, Aditya Gilra<\/td>\n<\/tr>\n
Pareto-guided Pipeline for Distilling Featherweight AI Agents in Mobile MOBA Games<\/td>Xionghui Yang, Bozhou Chen, Yunlong Lu, Yongyi Wang, Lingfeng Li, Lanxiao Huang, Lin Liu, Wenjun Wang, Meng Meng, Xia Lin, Wenxin Li<\/td>\n<\/tr>\n
Graph-Conditioned Diffusion for Offline Multi-Agent Reinforcement Learning<\/td>Luis Manuel Pimentel, Minwoo Cho, Sean Charles Ye, James E. G. Pagan, Matthew Craig Gombolay<\/td>\n<\/tr>\n
Altruism and Fair Objective in Mixed-Motive Markov games<\/td>Franck XU, Tayeb LEMLOUMA, Arnaud Braud, Jean-Marie Bonnin<\/td>\n<\/tr>\n
Safe Reinforcement Learning via Recovery-based Shielding with Gaussian Process Dynamics Models<\/td>Alex Goodall, Francesco Belardinelli<\/td>\n<\/tr>\n
Learning to Price: Interpretable Attribute-Level Models for Dynamic Markets<\/td>Srividhya Sethuraman, Chandra Shekar Lakshminarayanan<\/td>\n<\/tr>\n
R-Debater: Retrieval-Augmented Debate Generation through Argumentative Memory<\/td>Maoyuan Li, Zhongsheng Wang, Haoyuan Li, Jiamou Liu<\/td>\n<\/tr>\n
OWLViz: An Open-World Benchmark for Visual Question Answering<\/td>Thuy Nguyen, Dang Nguyen, Ho\u00c3\u00a0ng Nguy\u00e1\u00bb\u2026n, Thuan Duc Luong, Franck Dernoncourt, Long Hoang Dang, Viet Dac Lai<\/td>\n<\/tr>\n
Exploring Cognitive Bias Impact, Detection and Mitigation in Large Language Models<\/td>Ana Guti\u00c3\u00a9rrez-Mandingorra, Stella Heras, Javier Palanca, Vicent Botti<\/td>\n<\/tr>\n
Federated Gaussian Process Learning via Pseudo-Representations for Large-Scale Multi-Robot Systems<\/td>Sanket A Salunkhe, George P. Kontoudis<\/td>\n<\/tr>\n
Multigranular Alignment via Linguistic Decomposition and Reward Optimization for Text to Image Diffusion<\/td>Hengrui Liu, Luming Jin, Meng-Fen Chiang<\/td>\n<\/tr>\n
Grassroots Federation: Fair Democratic Governance at Scale<\/td>Nimrod Talmon, Ehud Shapiro<\/td>\n<\/tr>\n
DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments<\/td>Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Nathan Jacobs, Yevgeniy Vorobeychik<\/td>\n<\/tr>\n
Scalable and Safe Multi-Agent Coordination with Reconstructed Level-k Monte Carlo Tree Search<\/td>Zhihao Lin, Lin Wu, Zhen Tian, Alessio Lomuscio, Jianglin Lan<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nAccepted as Extended Abstract \n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
Title<\/th>Authors<\/th>\n<\/tr>\n<\/thead>\n
Resolving Task Objective Conflicts in Unified Model via Task-Aware Mixture-of-Experts<\/td>Jiaxing Zhang, Hao Tang<\/td>\n<\/tr>\n
Learning Rewards, Not Labels: Adversarial Inverse Reinforcement Learning for Machinery Fault Detection<\/td>Dhiraj Neupane, Richard Dazeley, Mohamed Reda Bouadjenek, Sunil Aryal<\/td>\n<\/tr>\n
Constant-Memory Strategies in Stochastic Games: Best Responses and Equilibria<\/td>Fengming ZHU, Fangzhen Lin<\/td>\n<\/tr>\n
Fast and Robust Information Spreading in the Noisy PULL Model<\/td>Niccol\u00c3\u00b2 D'Archivio, Amos Korman, Emanuele Natale, Robin Vacus<\/td>\n<\/tr>\n
A Ceteris Paribus Borda Solution to the Social Ranking Problem<\/td>Rachel Ruell\u00c3\u00a9, Stefano Moretti, Ozturk Meltem<\/td>\n<\/tr>\n
A Multimodal AI Approach for Predicting Personal Privacy Preferences in Photo Sharing<\/td>Yuqi Niu, Kejia Zhang, Weidong Qiu, Nadin Kokciyan<\/td>\n<\/tr>\n
Mind-Inference for Multi-Turn Emotional Support: Distinguishing Personal and Factual with Adaptive Memory<\/td>Peilin LI, Qiuyun Zhang, Yukun Lian, Chengxuan Li, Bin Guo, Mengqi Chen, Han Wang, Yuyang Fang, Geyang Song, Yuan Gao<\/td>\n<\/tr>\n
RBC: Retroactive Belief State Compensation for Multi-Agent Collaboration Under Information Delay<\/td>Dongkun Huo, Hongbo Liu, Shu Yin, Yixue Hao, Long Hu, Rui Wang, Min Chen<\/td>\n<\/tr>\n
Situational-Constrained Multi-Agent Coordination through Correlated Equilibria<\/td>Libo Zhang, Zhirui Zeng, Yang Chen, Jiamou Liu<\/td>\n<\/tr>\n
A Conceptual Framework for Shared Autonomy<\/td>Shashank Shekhar, JEANPIERRE Laurent, Abdel-illah Mouaddib<\/td>\n<\/tr>\n
DebugTA: An LLM-Based Agent for Simplifying Debugging and Teaching in Programming Education<\/td>Lingyue Fu, Datong Chen, Haowei Yuan, Xinyi Dai, Qingyao Li, Weinan Zhang, Weiwen Liu, Yong Yu<\/td>\n<\/tr>\n
A Multi Agent System for Automated Alert Analysis, Prioritization, and Resolution in Financial Data Support and Referential Workflows<\/td>Arijit Samal<\/td>\n<\/tr>\n
Computing Pure-Strategy Nash Equilibria in a Two-Party Policy Competition: Existence and Algorithmic Approaches<\/td>Chuang-Chieh Lin, Chi-Jen Lu, Po-An Chen, Chih-Chieh Hung<\/td>\n<\/tr>\n
Bounding Acceptability Degrees and Eliciting Initial Weights in Gradual Argumentation<\/td>Nir Oren, Bruno Yun<\/td>\n<\/tr>\n
Minimizing Envy and Maximizing Happiness in Graphical House Allocation<\/td>Anubhav Dhar, Ashlesha Hota, Palash Dey, Sudeshna Kolay<\/td>\n<\/tr>\n
TEME: A Multi-Agent Evaluation Framework for Spanish Medical Speech Recognition<\/td>Leire Villarroya Mart\u00c3\u00adnez, Stella Heras, Javier Palanca, Vicent Botti, EDWIN TADEO GOMEZ GOMEZ, Enrique Alc\u00c3\u00a1zar Garz\u00c3\u00a1s<\/td>\n<\/tr>\n
Cognitive Heterogeneity and Behavioral Biases in Multi-Stage Supply Chains: Evidence from LLM-Based Agent Simulations<\/td>Jiuyun Jiang, Yuecheng Hong, Bo Yang, Jin Yang, Guangxin Jiang, Xiaomeng Guo, Guang Xiao<\/td>\n<\/tr>\n
A Causality-Inspired Spatial-Temporal Return Decomposition Approach for Multi-Agent Reinforcement Learning<\/td>Yudi Zhang, Yali Du, Biwei Huang, Meng Fang, Mykola Pechenizkiy<\/td>\n<\/tr>\n
Satisfaction Paths in Markov Games<\/td>Yanqing Fu, Chao Huang, Chenrun Wang, Zhuping Wang<\/td>\n<\/tr>\n
Incentivizing Black-Box Model Sharing with Fair Rewards and Payoffs<\/td>Wenyang Hu, Xinyi Xu, See-Kiong Ng, Bryan Kian Hsiang Low<\/td>\n<\/tr>\n
Fair Revenue Compensation in Data Markets<\/td>Nathan Joe Joseph, Jiaxin Song, Bhaskar Ray Chaudhury<\/td>\n<\/tr>\n
Inequality in Congestion Games with Learning Agents<\/td>Dimitris Michailidis, Sennay Ghebreab, Fernando P. Santos<\/td>\n<\/tr>\n
Robust Multiagent Collaboration Through Weighted Max\u00e2\u20ac\u201cMin T-Joins<\/td>sharareh alipour<\/td>\n<\/tr>\n
Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language Models<\/td>Daniel Hennes, Zun Li, John Schultz, Marc Lanctot<\/td>\n<\/tr>\n
Sample-Efficient Neurosymbolic Deep Reinforcement Learning<\/td>Celeste Veronese, Alessandro Farinelli, Daniele Meli<\/td>\n<\/tr>\n
An ML-BDI Reasoner to Support Crime Investigation in Digital Forensics<\/td>Guilherme Dall'Agnol Deconto, Leonardo dos Santos Teixeira, Roben Castagna Lunardi, Rafael C. Cardoso, Felipe Meneguzzi, Avelino Francisco Zorzo<\/td>\n<\/tr>\n
SCMRAG 2.0: Efficient and Scalable Multi-hop Graph RAG with Multimodal Knowledge-Graphs and Agentic Self-Correction<\/td>Rishabh Agrawal, Uday Devulapalli, Apurva Narayan<\/td>\n<\/tr>\n
DEMamba: Decoupled Enhanced State Space Models with Selective Mechanisms for Multivariate Time Series Forecasting<\/td>Junluo Zheng, Yang Liu, Jianyong Chen<\/td>\n<\/tr>\n
Role-Based Orchestration of sLLM Agents for Korean Instruction-Following: A Comparison with SOTA<\/td>GukhwanBae, YounghoLee<\/td>\n<\/tr>\n
Reward-Free Action Poisoning in Offline RL via Conditional Shapley Value Estimation<\/td>Shenghong He, Chao Yu, Kaiqiang Ke, Yinqi Wei<\/td>\n<\/tr>\n
Proportionality from Low-Dimensional Approval Data<\/td>Zhiyi Huang, Gregory Kehne, Chutong Yang<\/td>\n<\/tr>\n
Dynamic Incentivized Cooperation under Changing Rewards<\/td>Philipp Altmann, Thomy Phan, Maximilian Zorn, Claudia Linnhoff-Popien, Sven Koenig<\/td>\n<\/tr>\n
Behavior Tree Generation with LLM-MCTS-BT as a Pre-Planner Bridging Priors and Uncertainty<\/td>Haoming Wang, xueying wang, Xiaoge Deng, Bin Li, Jingtao Qi, Jinjing Sun, Fu Li<\/td>\n<\/tr>\n
Cost-Aware Best Arm Identification via Dueling Feedback with Applications to Large Language Models<\/td>Sarvesh Gharat, Nikhil Karamchandani, Jayakrishnan Nair<\/td>\n<\/tr>\n
Multi-Agent Combinatorial-Multi-Armed-Bandit framework for the Submodular Welfare Problem under Bandit Feedback<\/td>Subham Pokhriyal, Shweta Jain, Vaneet Aggarwal<\/td>\n<\/tr>\n
Efficient Device-Cloud Collaborative Offline-to-Online Reinforcement Learning<\/td>Honglan Huang, Wei Shi, Chaoyue Niu<\/td>\n<\/tr>\n
On multiagent online problems with predictions<\/td>Gabriel Istrate, Cosmin Bonchis, Victor Bogdan<\/td>\n<\/tr>\n
LLM-SMAC: Solving Multi-Agent Decision-Making Tasks via LLM Decision Tree Code Generation<\/td>Yue Deng, Weiyu Ma, Yuxin Fan, Ruyi Song, Yin Zhang, Haifeng Zhang, Jian Zhao<\/td>\n<\/tr>\n
Deep Meta Coordination Graphs for Multi-Agent Reinforcement Learning<\/td>Nikunj Gupta, James Zachary Hare, Jesse Milzman, Rajgopal Kannan, Viktor Prasanna<\/td>\n<\/tr>\n
Does Calibration Affect Human Actions?<\/td>Meir Nizri, Amos Azaria, Chirag Gupta, Noam Hazon<\/td>\n<\/tr>\n
Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM<\/td>Oskar Bohn Lassen, Serio Agriesti, Filipe Rodrigues, Francisco C. Pereira<\/td>\n<\/tr>\n
Bayesian Network Structure Learning through Large Language Models<\/td>Jiebin Cai, Yinghui Pan, Yifeng Zeng, Han Liu<\/td>\n<\/tr>\n
Memory Retention Is Not Enough to Master Memory Tasks in Reinforcement Learning<\/td>Oleg Shchendrigin, Egor Cherepanov, Alexey Kovalev, Aleksandr Panov<\/td>\n<\/tr>\n
AI Alignment Via Power Mean Elicitation<\/td>Chlo\u00c3\u00a9 Becquey, Cyrus Cousins, Yuhui Wei, Chang Zeng, Yair Zick<\/td>\n<\/tr>\n
Autonomous vehicles need social awareness to find optima in multi-agent reinforcement learning routing games.<\/td>Anastasia Psarou, \u00c5\u0081ukasz Gorczyca, Dominik Gawe\u00c5\u201a, Rafal Kucharski<\/td>\n<\/tr>\n
Causal Domain Adaptation: An Information Bottleneck Approach<\/td>Mohammad Ali Javidian<\/td>\n<\/tr>\n
TCRL: Temporal-Coupled Adversarial Training for Robust Constrained Reinforcement Learning in Worst-Case Scenarios<\/td>Wentao Xu, Zhongming Yao, Weihao Li, Zhenghang Song, Yumeng Song, TIANYI LI, Yushuai Li<\/td>\n<\/tr>\n
Preventing Process Reward Model Hacking When Training Large Language Models on Verifiable Rewards<\/td>Grant Collier Forbes, Leonardo Villalobos-Arias, Jianxun Wang, Arnav Jhala, David L. Roberts<\/td>\n<\/tr>\n
Combinatorial Optimization of Antibody Libraries via Constrained Integer Programming<\/td>Conor F. Hayes, Andre R Goncalves, Steven Magana-Zook, Jacob Pettit, Ahmet Can Solak, Daniel faissol, Mikel Landajuela<\/td>\n<\/tr>\n
Enabling Option Learning in Sparse Rewards with Hindsight Experience Replay<\/td>Gabriel Romio, Mateus Begnini Melchiades, Bruno Castro da Silva, Gabriel de Oliveira Ramos<\/td>\n<\/tr>\n
Incremental Multiple Oracle<\/td>Carlos Martin, Tuomas Sandholm<\/td>\n<\/tr>\n
Centralized and Distributed approaches for restoring the Weak Controllability of Multi-Agent Interdependent STNUs<\/td>Ajdin SUMIC, Thierry Vidal, Gauthier Picard, Fr\u00c3\u00a9d\u00c3\u00a9ric Maris, Roberto Posenato, Carlo Combi<\/td>\n<\/tr>\n
G-RAGent: Dynamic Reasoning on Hypergraphs for Retrieval-Augmented Language Models<\/td>Yaoyang Hou, Chen Zheng<\/td>\n<\/tr>\n
Geometric State Fusion for Autonomous Agents: A Comparative Analysis of Dual Quaternion Observer and Kalman Filters<\/td>Ilya Afanasyev<\/td>\n<\/tr>\n
You can go first - Planning for social law synthesis in asymmetric multi-agent settings<\/td>Sarath Sreedharan, Philip D. Hopkins, Felipe Meneguzzi<\/td>\n<\/tr>\n
Repeated Deceptive Path Planning against Learnable Observer<\/td>Shiyue Cao, Pei Xu, Likun Yang, Lei Cui, Shizhao Yu, Shiyu Zhang, Renyongjian, Xiaotang Chen, Kaiqi Huang<\/td>\n<\/tr>\n
GreenLine: A delay-tolerant mechanism design for grid capacity allocation<\/td>Athina Georgara, Jayati Deshmukh, Sarvapali D Ramchurn<\/td>\n<\/tr>\n
The Web Tool Trap: Understanding and Mitigating Over-Reliance in LLM Browsing Agents<\/td>Jiawei Guo, Hongjie Nie, Qianbo Zang, Shu Yang, Shuodi Liu, Yiwei Ru, Liuyu Xiang, Di Wang, Zhaofeng He<\/td>\n<\/tr>\n
Large-Scale Continual Scheduling and Execution for Dynamic Distributed Satellite Constellation Observation Allocation<\/td>Itai Zilberstein, Steve Chien<\/td>\n<\/tr>\n
Blending ontologies and language models to generate sound and natural robot explanations<\/td>Alberto Olivares-Alarcos, Muhammad Ahsan Fatwaddin Shodiq, Satrio Dwi Sanjaya, Hsien-I Lin, Guillem Aleny\u00c3<\/td>\n<\/tr>\n
Temporal Multi-Broadcast Optimization<\/td>Daniele Carnevale, Gianlorenzo D'Angelo<\/td>\n<\/tr>\n
RouterHGC: Optimized Router for LLM-based Multi-Agent Systems via Heterogeneous Graph Contrastive Learning<\/td>Yitao Xiao, Shaoyong Guo, guoming yang, Qingnan Wang, yinlin ren, Xuesong Qiu, Qi Feng<\/td>\n<\/tr>\n
More Views, More Problems? A Critical Analysis of Multi-View Aggregation for Agent Perception<\/td>Federico Tavella, Amber Drinkwater, Angelo Cangelosi<\/td>\n<\/tr>\n
Capital Provision to Reduce Liquidity Defaults and the Role of Central Banks<\/td>Jinyun Tong, Bart De Keijzer, Carmine Ventre<\/td>\n<\/tr>\n
Better Goals, Better Policies: LLM-Driven Relabeling for Offline Goal-Conditioned Reinforcement Learning<\/td>Xule Gao, Chuxiong Sun, Rui Wang, Changwen Zheng<\/td>\n<\/tr>\n
Multiagent Matroid Upgrading: Greedy is Fair and Efficient<\/td>Qingwen Ma, Chao Peng, Changfeng Xu, Chenyang Xu, Ruilong Zhang<\/td>\n<\/tr>\n
Accelerating Action-Robust Deep Deterministic Policy Gradient via Parallel Optimization<\/td>SeongIn Kim, Takeshi Shibuya<\/td>\n<\/tr>\n
Algorithmic Contract Design with Reinforcement Learning Agents<\/td>David Molina Concha, Kyeonghyeon Park, Hyun-Rok Lee, Taesik Lee, Chi-Guhn Lee<\/td>\n<\/tr>\n
Splitting Assumption-Based Argumentation Frameworks<\/td>Giovanni Buraglio, Wolfgang Dvo\u00c5\u2122\u00c3\u00a1k, Stefan Woltran<\/td>\n<\/tr>\n
Approximating Electoral Control Problems<\/td>Huy Vu Bui, Michael C. Chavrimootoo, Kien T. Le, Son M. Nguyen<\/td>\n<\/tr>\n
CoMoU: Model-based Dynamics Estimation for Efficient Offline-to-online Reinforcement Learning<\/td>Dongxiang Chen, Ying Wen, Rui Chen, Kechen Li<\/td>\n<\/tr>\n
Last-iterate Convergence of Heterogeneous Learning in Time-Varying Zero-Sum Games<\/td>Junyue Zhang, Xinxiang Guo, Yi Feng, Xiao Wang, Yifen Mu<\/td>\n<\/tr>\n
Online EFX Allocations with Predictions<\/td>Themistoklis Melissourgos, Nicos Protopapas<\/td>\n<\/tr>\n
Nested Training for Mutual Adaptation in Human\u00e2\u20ac\u201cAI Teaming<\/td>Upasana Biswas, Durgesh Kalwar, Subbarao Kambhampati, Sarath Sreedharan<\/td>\n<\/tr>\n
Single-Deviation Stability in Additively Separable Hedonic Games with Constrained Coalition Sizes<\/td>Martin Bullinger, Adam Dunajski, Edith Elkind, Matan Gilboa<\/td>\n<\/tr>\n
Robust Direct Preference Optimization for Offline Learning<\/td>Shihab Ahmed, Zhenyi Wang, Yue Wang<\/td>\n<\/tr>\n
Toward recognizing Social Media Recommenders under Absent Recommendations: a Graph Neural Network-based Approach<\/td>Sabrina Guidotti, Gregor Donabauer, Davide Taibi, Giuseppe Vizzari, Udo Kruschwitz, Dimitri Ognibene<\/td>\n<\/tr>\n
Horizon Based Cross-View Geolocalization in Maritime Environment<\/td>Alexandre Foucher, Cedric Seguin, Dominique Heller, Johann Laurent<\/td>\n<\/tr>\n
Extending Multi-source Bayesian Optimization With Causality Principles<\/td>Luuk Jacobs, Mohammad Ali Javidian<\/td>\n<\/tr>\n
Privacy Preserving Multi Agent Path Finding<\/td>Rotem Lev Lehman, Roni Stern, Guy Shani<\/td>\n<\/tr>\n
Real Preferences under Arbitrary Norms<\/td>Joshua Zeitlin, Corinna Coupette<\/td>\n<\/tr>\n
On the Trade-Off Between Transparency and Security in Adversarial Machine Learning<\/td>Lucas Fenaux, Christopher Srinivasa, Florian Kerschbaum<\/td>\n<\/tr>\n
PADME: Procedure Aware DynaMic Execution<\/td>Deepeka Garg, Sihan Zeng, Annapoorani Lakshmi Narayanan, Sumitra Ganesh, Leo Ardon<\/td>\n<\/tr>\n
Differentially Private Non-convex Learning: From Generalized Linear Models to Multi-layer Neural Networks<\/td>Hanpu Shen, Cheng-Long Wang, Zihang Xiang, Yiming Ying, Di Wang<\/td>\n<\/tr>\n
A Unified Framework for Zero-Shot Reinforcement Learning<\/td>Jacopo Di Ventura, Jan Felix Kleuker, Aske Plaat, Thomas M. Moerland<\/td>\n<\/tr>\n
Mechanism-Informed Learning for Fair Division<\/td>Ryota Maruo, Tomohiko Yokoyama, Ayumi Igarashi, Koh Takeuchi<\/td>\n<\/tr>\n
Timing Optimization in Dynamic Discrete Action Space Lifelong Reinforcement Learning<\/td>Pangjing Wu, Xiaodong Li<\/td>\n<\/tr>\n
AFRC: Adaptive Responsible Compression for Federated Learning under Data Heterogeneity<\/td>Adarsh Valoor, Sarvapali D Ramchurn<\/td>\n<\/tr>\n
Algorithms for Candidate Control in Sequential Participatory Budgeting Rules<\/td>\u00c5\u00a0imon Schierreich, Krzysztof Sornat<\/td>\n<\/tr>\n
Mitigating Problematic Social Media Use through Paired Recommender Systems with Contrasting Objectives<\/td>Stefano Livella, Luca Bolis, Sabrina Patania, Matteo Papini, Dimitri Ognibene<\/td>\n<\/tr>\n
Neurosymbolic Active Goal Recognition in Partially Observable Environments<\/td>Chenyuan Zhang, Sukai Huang, Hamid Rezatofighi, Mor Vered, Buser Say<\/td>\n<\/tr>\n
Heuristic Transformer: Belief Augmented In-Context Reinforcement Learning<\/td>Oliver Dippel, Bei Peng, Alexei Lisitsa<\/td>\n<\/tr>\n
Learning Semantic and Structure Aware Representation with Large Language Models for Concept Recommendation<\/td>Qingyao Li, Wei Xia, Kounianhua Du, Qiji Zhang, Weinan Zhang, Ruiming Tang, Yong Yu<\/td>\n<\/tr>\n
Detecting Approximate Clones under Approval Voting<\/td>Th\u00c3\u00a9o Delemazure, Piotr Faliszewski, \u00c5\u0081ukasz Janeczko, Du\u00c5\u00a1an Knop, Krist\u00c3\u00bdna Pek\u00c3\u00a1rkov\u00c3\u00a1, Jan Pokorn\u00c3\u00bd, \u00c5\u00a0imon Schierreich, Ildik\u00c3\u00b3 Schlotter<\/td>\n<\/tr>\n
xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing<\/td>Haoyi Niu, Qimao Chen, Tenglong Liu, Jianxiong Li, Guyue Zhou, Yi ZHANG, Jianming HU, Xianyuan Zhan<\/td>\n<\/tr>\n
Explainable Representation of Finite-Memory Policies for POMDPs using Decision Trees<\/td>Muqsit Azeem, Debraj Chakraborty, Sudeep Kanav, Jan Kretinsky<\/td>\n<\/tr>\n
Towards Probabilistic Strategic Timed CTL<\/td>Wojciech Jamroga, Marta Kwiatkowska, Wojciech Penczek, Laure Petrucci, Teofil Sidoruk<\/td>\n<\/tr>\n
DomAgent: Leveraging Knowledge Graphs and Case-Based Reasoning for Domain-Specific Code Generation<\/td>Shuai Wang, Dhasarathy Parthasarathy, Robert Feldt, Yinan Yu<\/td>\n<\/tr>\n
Procedural Fairness in Multi-Agent Bandits<\/td>Joshua Caiata, Carter Blair, Kate Larson<\/td>\n<\/tr>\n
Plan-and-Execute: LLM-Guided Reinforcement Learning with Cross-Modal Fusion for Long-Sequence Decision Making<\/td>Yadong Li, Tong Zhang, Zhen Cui<\/td>\n<\/tr>\n
Multimodal Emotion Recognition in Conversation via Large Language Models and Global\u00e2\u20ac\u201cLocal Cross-Domain Graphs<\/td>Haobo Ma, Chen Huang, Yan Zhang, Chao Yang, Jianhua Song<\/td>\n<\/tr>\n
The Monetization Agent: A Deployed POMDP for Maximizing Lifetime In-App Advertising Revenue<\/td>Jiacheng Chang, Xiao Lei, Zhixi Wan, Lei Huang, Qi He<\/td>\n<\/tr>\n
Selfish routing games with priority lanes<\/td>Yang Li, Alexander Skopalik, Marc Uetz<\/td>\n<\/tr>\n
PSN Game: Game-theoretic Prediction and Planning via a Player Selection Network<\/td>Tianyu Qiu, Eric Ouano, Fernando Palafox, Christian Ellis, David Fridovich-Keil<\/td>\n<\/tr>\n
Let Leaders Play Games: Improving Timing in Leader-based Consensus<\/td>Rasheed Ahmed, Parth Desai, Sujit Gujar<\/td>\n<\/tr>\n
ProSh: Probabilistic Shielding for Model-free Reinforcement Learning<\/td>Edwin Hamel-de le Court, Gaspard Ohlmann, Francesco Belardinelli<\/td>\n<\/tr>\n
Selective Amnesia: Observation Unlearning in Reinforcement Learning<\/td>Yue Yang, Jinhao Li, Hao Wang<\/td>\n<\/tr>\n
Formalizing Mental Privacy in LogiKEy<\/td>Luca Pasetto, Christoph Benzm\u00c3\u00bcller, R\u00c3\u00a9ka Markovich<\/td>\n<\/tr>\n
Bridging the Gap Between Estimated and True Regret in Deep Learning\u00e2\u20ac\u201cBased Auction Mechanisms<\/td>shuyuan you, Zhiqiang Zhuang, Haiying Wu, Kewen Wang, Zhe Wang<\/td>\n<\/tr>\n
Reinforcement Learning for Falsification of Dynamic Driving Scenarios<\/td>Oliver Chang, Kay Vargas, Leilani H. Gilpin, Daniel J. Fremont<\/td>\n<\/tr>\n
Network-based Active Learning for Identifying Illicit Actors in Financial Transaction Networks<\/td>Amro Alabsi Aljundi, Abhijin Adiga, Christopher Barrett, Margaret J. Foster, Brian D. Klahn, Dustin Machi, Achla Marathe, Philip B.K. Potter, Aaron Schroeder, Samarth Swarup, Anil Vullikanti, Mandy L Wilson, Madhav Marathe<\/td>\n<\/tr>\n
Equilibria in Quantitative Bipolar Argumentation Dialogues<\/td>Andreas Br\u00c3\u00a4nnstr\u00c3\u00b6m, Timotheus Kampik<\/td>\n<\/tr>\n
Allocation Proportionality of OWA Voting Rules<\/td>Daria Boratyn, Dariusz Stolicki<\/td>\n<\/tr>\n
Stronger Approximation Guarantees for Non-Monotone $\\gamma$-Weakly DR-Submodular Maximization<\/td>Hareshkumar Jadav, Ranveer Singh, Vaneet Aggarwal<\/td>\n<\/tr>\n
From Knowledge to Causality: Self-Supervised Representation Learning for Granger Causal Discovery in Groups of Time Series<\/td>Bo Liu, Hongyan Li, Shenda Hong<\/td>\n<\/tr>\n
Encoding Goals as Graphs: Structured Objectives for Scalable Cooperative Multi-Agent Reinforcement Learning<\/td>Alessandro Amato, Raffaele Galliera, K. Brent Venable, Niranjan Suri<\/td>\n<\/tr>\n
Dynamic Network Link Prediction Based on Characterization of Temporal Attributes<\/td>Xiaojing Liu, Winston K.G. Seah, GangXu<\/td>\n<\/tr>\n
Suggestion-Based Assistance of Suboptimal Users in Sequential Decision-Making Tasks<\/td>Niklas Dieckow, Pierre-Alexandre Murena<\/td>\n<\/tr>\n
Self-Evolving Software Agents<\/td>Marco Robol, Paolo Giorgini<\/td>\n<\/tr>\n
Fair Allocation with Initial Utilities<\/td>Niclas Boehmer, Luca Kreisel<\/td>\n<\/tr>\n
TAXI2: Joint Pairing and Vehicle Assignment for Two-Passenger Shared Taxis<\/td>Afzaal Hassan, Irene Moser, Mark Wallace, Daniel Harabor<\/td>\n<\/tr>\n
Collaborate, Deliberate, Evaluate: How LLM Alignment Affects Coordinated Multi-Agent Outcomes<\/td>Abhijnan Nath, Carine Graff, Nikhil Krishnaswamy<\/td>\n<\/tr>\n
GCMRBench: Goal-Conditioned Multi-Robot Environments and Benchmarks for Advancing Offline Multi-Agent Reinforcement Learning<\/td>Chenxing Li, Chin-Jui Chang, Yinlong Liu, Zijian Ma, Jan R. Seyler, Shahram Eivazi<\/td>\n<\/tr>\n
Engineering norm-aware BDI agents<\/td>Michael Winikoff, Frank Dignum, Sebastian Rodriguez, John Thangarajah<\/td>\n<\/tr>\n
Towards Strengthening Decentralised Exchange<\/td>Rixt Hellinga, George Iosifidis, Neil Yorke-Smith<\/td>\n<\/tr>\n
When LLM Agent Teams Fail at Topological Spatial Reasoning Under Partial Observability<\/td>Heitor Gama, Jean-Philippe DIGUET, Damith Ranasinghe<\/td>\n<\/tr>\n
Independence of Approximate Clones with Ordinal Preferences<\/td>Th\u00c3\u00a9o Delemazure<\/td>\n<\/tr>\n
Time-Varyingness in Auction Breaks Revenue Equivalence<\/td>Yuma Fujimoto, Kaito Ariu, Kenshi Abe<\/td>\n<\/tr>\n
Grounding vs. Compositionality: On the Non-Complementarity of Reasoning in Neuro-Symbolic Systems<\/td>Mahnoor Shahid, Hannes Rothe<\/td>\n<\/tr>\n
Strategic Interactions in Multi-Level Stackelberg Games with Non-Follower Agents and Heterogeneous Leaders<\/td>Niloofar Aminikalibar, Farzaneh Farhadi, Maria Chli<\/td>\n<\/tr>\n
Disjunctive Temporal Refinement Planning with Variable Action Duration and Execution Makespan Bounds<\/td>Mica Gardone, Rogelio E. Cardona-Rivera<\/td>\n<\/tr>\n
Equity by Design in Task Allocation: Reverse Auctions with Group and Individual Fairness<\/td>Yunxiao Zhao, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov<\/td>\n<\/tr>\n
SPADE: Sketch-guided Path Planning Augmented with Diffusion Experts<\/td>Charbel Abi Hana, Tatiana Ghantous, Mikael Khalil, Anthony Rizk<\/td>\n<\/tr>\n
Safe Multi-Agent Reinforcement Learning Through Neural Graph Control Barrier Functions<\/td>Ziye Deng, QIANG LI, Mingyue Zhang, WU CHEN<\/td>\n<\/tr>\n
Enhanced Deep Q-Learning with Gaussian Mixtures<\/td>Chainesh Gautam, Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi<\/td>\n<\/tr>\n
Active Inference through Incentive Design in Partially Observable Markov Decision Processes<\/td>Xinyi Wei, Chongyang Shi, Shuo Han, Ahmed Hemida, Charles A kamhoua, Jie Fu<\/td>\n<\/tr>\n
LLM-based Agents in Supply Chain Games: The Role of Incomplete Information and Model Heterogeneity<\/td>Jiuyun Jiang, Yuecheng Hong, Jiangnan Shi, Song Huang, Jin Yang, Guangxin Jiang, Xiaomeng Guo, Guang Xiao<\/td>\n<\/tr>\n
RAC: Request-adaptive Configuration for Efficient Speculative Decoding<\/td>Jinhao Sheng, Xiao Huang, Hongxin Wei, Feng Zhou<\/td>\n<\/tr>\n
Asynchronous Multi-Agent Reinforcement Learning for 5G Routing under Side Constraints<\/td>Sebastian Racedo, Brigitte Jaumard, Oscar Delgado, Meysam Masoudi<\/td>\n<\/tr>\n
Do LLMs Strategically Reveal, Conceal, and Infer Information? A Theoretical and Empirical Analysis in The Chameleon Game<\/td>Mustafa O. Karabag, Jan Sobotka, ufuk topcu<\/td>\n<\/tr>\n
From Competition to Collaboration: Designing Sustainable Mechanisms Between LLMs and Online Forums<\/td>Niv Fono, Yftah Ziser, Omer Ben-Porat<\/td>\n<\/tr>\n
InteractFormer: Inter-Agent Spatiotemporal Attention for Multi-Agent Action Anticipation<\/td>Yiqi Jin, Simon Stepputtis, Carl Busart, Katia P. Sycara, Yaqi Xie<\/td>\n<\/tr>\n
Stackelberg Equilibria of Blotto Games<\/td>Masoud Seddighin, Saeed Seddighin<\/td>\n<\/tr>\n
BEDA: Belief Estimation as Probabilistic Constraints for Performing Strategic Dialogue Acts<\/td>Hengli Li, Zhaoxin Yu, Qi Shen, Chenxi Li, Mengmeng Wang, Tinglang Wu, Yipeng Kang, Yuxuan Wang, Song-Chun Zhu, Zixia Jia, Zilong Zheng<\/td>\n<\/tr>\n
Fair Committee Selection under Ordinal Preferences and Limited Cardinal Information<\/td>Ameet Gadekar, Aristides Gionis, Suhas Thejaswi, Sijing Tu<\/td>\n<\/tr>\n
Game-Theoretic and Algorithmic Analyses of Multi-Agent Routing under Crossing Costs<\/td>Tesshu Hanaka, Nikolaos Melissinos, Hirotaka Ono<\/td>\n<\/tr>\n
Proportionality Variations in Repeated Fair Division of Indivisible Goods<\/td>Karl Jochen Micheel, Ana\u00c3\u00ablle Wilczynski<\/td>\n<\/tr>\n
Offline Safe Policy Optimization From Heterogeneous Feedback<\/td>Ze Gong, Pradeep Varakantham, Akshat Kumar<\/td>\n<\/tr>\n
Discovery and Enactment of Declarative Interaction Protocols in Dynamically Open Settings<\/td>Andrei Ciortea, Kai Schultz, Amit K. Chopra, Ganesh Ramanathan<\/td>\n<\/tr>\n
Stochastically Dominant Preference Optimization: Policy Improvement For All<\/td>Ali Farajzadeh, Syed M. Abbas, Aadirupa Saha, Brian D Ziebart<\/td>\n<\/tr>\n
Low Complexity Online Contextual Learning with Continuous Actions<\/td>Mohsen Najjar, Tavor Baharav, Ilai Bistritz<\/td>\n<\/tr>\n
Evaluating XAI Support From A Hierarchical Reinforcement Learning Policy in Human-Agent Collaboration<\/td>Mateus Levi Sim\u00c3\u00b5es Fernandes, Alberto Sardinha<\/td>\n<\/tr>\n
Strategic Behavior, Fairness, and Social Optimality in Multi-Winner Elections under Uncertainty<\/td>Janik B\u00c3\u00bcrgermeister, Chris Dong, Michael T. Lewicki<\/td>\n<\/tr>\n
Coalition Tactics: Bribery and Control in Parliamentary Elections<\/td>Hodaya Barr, Eden Hartman, Yonatan Aumann, Sarit Kraus<\/td>\n<\/tr>\n
Pareto-Guided Exploration for Multi-Objective Multiagent Learning<\/td>Gaurav Dixit, Kagan Tumer<\/td>\n<\/tr>\n
Near-Feasible Stable Matchings: Incentives and Optimality<\/td>Frederik Glitzner<\/td>\n<\/tr>\n
On Quantitative Analysis of Responsibility in Multi-Agent Systems<\/td>Chunyan Mu, Nir Oren<\/td>\n<\/tr>\n
Efficient Teammate Adaptation with Language-assisted Progressive Intention Alignment<\/td>Zhichao Wu, Ruiqi Xue, Yi-Chen Li, Cong Guan, Jing-Wen Yang, Lei Yuan, Yang Yu<\/td>\n<\/tr>\n
Low Message-Cost Gossip for Welfare-Optimal Decentralized Decision Making<\/td>Vedic Sharma, Peter Marbach<\/td>\n<\/tr>\n
Revisiting the Evolution of Cooperation in Complex Societies<\/td>Jonathan Berry Skaggs, Jacob Crandall<\/td>\n<\/tr>\n
On the Semantics of Primary Cause in Hybrid Dynamic Domains<\/td>Shakil M Khan, Asim Mehmood, Sandra Zilles<\/td>\n<\/tr>\n
LLMAide: Language-Assisted Neural Solver for Vehicle Routing Problems<\/td>Manuj Malik, Jianan Zhou, Yan Jin, Zhiguang Cao<\/td>\n<\/tr>\n
IntentGuard: Securing MCP-Enabled LLM Agents via Post-Decision Semantic Plan Verification<\/td>Haoran Cheng, Yunhao Yao, Jinke Song, Zhiqiang Wang, Lan Zhang<\/td>\n<\/tr>\n
Neural MFGs: Extending Mean-Field Game Theory with Neural Stochastic Differential Equations<\/td>Chiara Th\u00c3\u00b6ni, Yoram Bachrach, Tal Kachman<\/td>\n<\/tr>\n
Too many specialists: Emergent Inefficiencies and bottlenecks for multi-agent ad-hoc collaboration<\/td>Benjamin Panny, Shashank Mehrotra, Zahra Zahedi, Teruhisa Misu, Kumar Akash<\/td>\n<\/tr>\n
ANN-CMCGS: Generalizing Continuous Monte-Carlo Graph Search with Approximate Nearest Neighbors<\/td>Christoph Scherer, Wolfgang H\u00c3\u00b6nig<\/td>\n<\/tr>\n
Information Fidelity in Tool-Using LLM Agents: A Martingale Analysis of the Model Context Protocol<\/td>Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer, Yew-Soon Ong<\/td>\n<\/tr>\n
LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation<\/td>Dongge Han, Camille Couturier, Daniel Madrigal, Xuchao Zhang, Victor R\u00c3\u00bchle, Saravan Rajmohan<\/td>\n<\/tr>\n
CtrlRAG: Black-box Document Poisoning Attacks for Retrieval-Augmented Generation of Large Language Models<\/td>Runqi Sui, Xuejing Yuan, Di Tang, Baojiang cui<\/td>\n<\/tr>\n
Symbolic Guidance for LLM Agents in Distributed Multiagent Coordination<\/td>Ben Rachmut, Ning Zhang, Yevgeniy Vorobeychik, William Yeoh<\/td>\n<\/tr>\n
Reliable Data Science Analysis with Large Language Models via Multi-Agent Tools Orchestration<\/td>Mingyin Zou, Guangrong You, Xiaomin Zhu, Yanqing Ye, Ji Wang<\/td>\n<\/tr>\n
DFORD: Directional Feedback based Online Ordinal Regression Learning<\/td>Naresh Manwani, M Elamparithy, Tanish Taneja<\/td>\n<\/tr>\n
Scenario Generation for Risk-Aware Reinforcement Learning<\/td>Mohit Prashant, Arvind Easwaran<\/td>\n<\/tr>\n
Multi-Attribute Committee Selection: Diversity, Correlation, and Approximation Guarantees<\/td>Doron Heller, Reshef Meir<\/td>\n<\/tr>\n
AI-Agent Systems for Supply Chains: Structured Decision Prompts and Memory Retrieval<\/td>Konosuke Yoshizato, Kazuma Shimizu, Ryota Higa, Takanobu Otsuka<\/td>\n<\/tr>\n
Mitigating Constraint Conflict in Offline RL: An Adaptive Weighted Constraint Approach<\/td>Pengyu Chen, Shirong Liu, Minye Huang, Haozhuo Zheng, Haoyu Liu, Wenyu Yuan, Yang Liu<\/td>\n<\/tr>\n
Safe Offline Reinforcement Learning using Diffusion Policies<\/td>Ankita Kushwaha, Kiran Ravish, Preeti, Pawan Kumar, Anuj Mahajan<\/td>\n<\/tr>\n
Decentralized Asynchronous Multi-player Bandits<\/td>Jingqi Fan, Canzhe Zhao, Shuai Li, Siwei Wang<\/td>\n<\/tr>\n
Finding the Weakest Link: Adversarial Attack against Multi-Agent Communications<\/td>Maxwell Standen, Junae Kim, Claudia Szabo<\/td>\n<\/tr>\n
G2CP: A Graph-Grounded Communication Protocol for Verifiable and Efficient Multi-Agent Reasoning<\/td>Karim Ben Khaled, Davy Monticolo<\/td>\n<\/tr>\n
Safe But Not Sorry: Reducing Over-Conservatism in Safety Critics via Uncertainty-Aware Modulation<\/td>Daniel Bethell, Simos Gerasimou, Radu Calinescu, Calum Imrie<\/td>\n<\/tr>\n
Nanobot Algorithms for Treatment of Diffuse Cancer<\/td>Noble Harasha, Nancy A. Lynch<\/td>\n<\/tr>\n
Bridging Expertise and Data: Multi-Label Disease Detection via Causal Learning and Decision Fusion<\/td>Xin Zhang, MinHui Zhang, Jiaqi Liu, Zhiwen Yu, Bin Guo<\/td>\n<\/tr>\n
Leveraging Context-Oriented Programming to Implement Normative Rules in Autonomous Systems<\/td>Roberto Casadei, Martina De Sanctis, Gianluca Filippone, Sara Pettinari, Gian Luca Scoccia, Nicolas Troquard<\/td>\n<\/tr>\n
IG-MCTS: Human-in-the-Loop Cooperative Navigation under Incomplete Information<\/td>Shenghui Chen, Ruihan Zhao, Sandeep P. Chinchali, ufuk topcu<\/td>\n<\/tr>\n
Fair Contracts in Principal-Agent Games with Heterogeneous Types<\/td>Jakub T\u00c5\u201auczek, Victor Villin, Christos Dimitrakakis<\/td>\n<\/tr>\n
CQGen-MAS: A Multi-Agent System for Competency Questions Generation from Ontology<\/td>Fei Du, An huilong, Feng Li, Chen Li, Weidong Liu<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/p>\n","protected":false},"author":9,"featured_media":245977,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-245958","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/cyprusconferences.org\/aamas2026\/wp-json\/wp\/v2\/pages\/245958","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cyprusconferences.org\/aamas2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cyprusconferences.org\/aamas2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cyprusconferences.org\/aamas2026\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/cyprusconferences.org\/aamas2026\/wp-json\/wp\/v2\/comments?post=245958"}],"version-history":[{"count":8,"href":"https:\/\/cyprusconferences.org\/aamas2026\/wp-json\/wp\/v2\/pages\/245958\/revisions"}],"predecessor-version":[{"id":246069,"href":"https:\/\/cyprusconferences.org\/aamas2026\/wp-json\/wp\/v2\/pages\/245958\/revisions\/246069"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cyprusconferences.org\/aamas2026\/wp-json\/wp\/v2\/media\/245977"}],"wp:attachment":[{"href":"https:\/\/cyprusconferences.org\/aamas2026\/wp-json\/wp\/v2\/media?parent=245958"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}