ACCEPTED PAPERS - RESEARCH TRACK

Accepted as Full Paper

TitleAuthors
Characterizing Consensuses in Belief Flow NetworksNicolas Schwind, Gauvain Bourgne, Katsumi Inoue
Comparing the Fairness of Recursively Balanced Picking SequencesKaren Frilya Celine, Warut Suksompong, Sheung Man Yuen
Constrained Assumption-Based Argumentation FrameworksEmanuele De Angelis, Fabio Fioravanti, Maria Chiara Meo, Alberto Pettorossi, Maurizio Proietti, Francesca Toni
Identifying Essential Rule Sets in Agent-Based Models Through Systematic Ablation: A Tumor Evolution Case StudyNhung Duong, Đoàn Minh Lượng, Anh Do, Anh Truong, Ngoc Do, Nguyen Tran Nam Tien, Tuan Do
Multi-Objective Coverage via Constraint Active SearchZakaria Shams Siam, Xuefeng Liu, Chong Liu
An Algebraic Structuring of Epistemic States for BDI Agents in Uncertain EnvironmentsCharles A. N. Costa, Marlo Souza, Célia Ghedini Ralha
Interactive Bayesian Deception under Strategic TimingAmitalok J. Budkuley, Arya Choudhuri
SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal ModelShiyue Cao, Pei Xu, Likun Yang, Lei Cui, Xiaotang Chen, Kaiqi Huang
Cross-Domain Alignment with Fine Geometric Perception for Detail-Preserving Point Cloud CompletionChen Huang, Haobo Ma, Yan Zhang, Chao Yang, Jianhua Song
Decisions.jl: Representing and Transforming Decision Problem Classes in JuliaMel Krusniak, Ofer Dagan, Himanshu Gupta, Benjamin Kraske, Kyle Hollins Wray, Zachary Sunberg
Defection at First Sight: Learning Partner Selection in Optional Social Dilemmas without Prior InformationBenedict Russell, Chin-wing Leung, Paolo Turrini
Metric Hedonic Games on the LineMerlin de la Haye, Pascal Lenzner, Farehe Soheil, Marcus Wunderlich
The Impossibility of Strategyproof Rank AggregationManuel Eberl, Patrick Lederer
Robust Counterfactual Inference in Markov Decision ProcessesJessica Lally, Milad Kazemi, Nicola Paoletti
Surrogate-Augmented Deception in Reinforcement Learning (SAD-RL)Joe Shymanski, Scott Nivison, Sandip Sen
Decentralized Value Systems AgreementsArturo Hernandez-Sanchez, Natalia Criado, Stella Heras, Miguel Rebollo, Jose Such
Zero-Shot Coordination in Ad Hoc Teams with Generalized Policy Improvement and Difference RewardsRupal Nigam, Niket Parikh, Hamid Osooli, Mikihisa Yuasa, Jacob Heglund, Huy T Tran
OSIL: Learning Offline Safe Imitation Policies with Safety Inferred from Non-preferred TrajectoriesReturaj Burnwal, Nirav Pravinbhai Bhatt, Balaraman Ravindran
Reasoning about Bias in Multi-Agent Systems VerificationVadim Malvone, Chunyan Mu
Maximizing Index Diversity in Committee ElectionsPaula Böhm, Robert Bredereck, Till Fluschnik
Output-Feedback Security Tracking for Robotic Systems against DoS Attacks Using Finite-Time Observersjingwen Fan, Xiaozheng Jin, Jia Fu
Health Facility Location in Ethiopia: Leveraging LLMs to Integrate Expert Knowledge into Algorithmic PlanningYohai Trabelsi, GUOJUN XIONG, Fentabil Getnet, Stéphane Verguet, Milind Tambe
Balancing for Agent Decision Making through ArgumentationLiuwen Yu, Chenyang Cai, Leon Van der Torre, Réka Markovich
Influencing LLM Multi-Agent Dialogue via Policy-Parameterized PromptsHongbo Bo, Jingyu Hu, Weiru Liu
Catch Me If You Can: Finding the Source of Infections in Temporal NetworksBen Bals, Michelle Döring, Nicolas Klodt, George Skretas
Utility-based soft masking for continual multi-objective reinforcement learningTimon Deschamps, Rémy Chaput, Mathieu Guillermin, Laetitia Matignon
Proportional and Pareto-Optimal Allocation of Chores with SubsidyJugal Garg, Eklavya Sharma, Xiaowei Wu
Existence and Computation of Fair Allocations under ConstraintsSiddharth Barman, Ioannis Caragiannis, Sudarshan Shyam
Average Unfairness in Routing GamesPan-Yang Su, Arwa Alanqary, Bryce Ferguson, Manxi Wu, Alexandre M Bayen, S. Shankar Sastry
Practical approach to $2$-Euclidean PreferencesMichal Dvořák, Jan Pokorný, Dušan Knop, Martin Slávik
Teaching LLMs Naturally: Pedagogical Strategies for Interactive Knowledge AcquisitionSabrina Patania, Luca Annese, Cansu Koyuturk, Dimitri Ognibene
Fairness Dynamics in Digital Economy Platforms with Biased RatingsJ. Martin Smit, Fernando P. Santos
DRAGON: LLM-Driven Decomposition and Reconstruction Agents for Large-Scale Combinatorial OptimizationShengkai Chen, Zhiguang Cao, Jianan Zhou, Yaoxin Wu, Senthilnath Jayavelu, Zhuoyi Lin, Xiaoli Li, Shili Xiang
Computing Perfect Bayesian Equilibria, with Application to Empirical Game-Theoretic AnalysisChristine Konicki, Mithun Chakraborty, Michael P. Wellman
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field EstimationPatrick Benjamin, Alessandro Abate
Learning the Value Systems of Societies with Preference-based Multi-objective Reinforcement LearningAndrés Holgado-Sánchez, Peter Vamplew, Richard Dazeley, Sascha Ossowski, Holger Billhardt
Why and Whom to Communicate? A Dual-Objective, Cost–Benefit Framework for Multi-Agent CommunicationYi-Yu Lin, Jiahao Zhang, Xiao-Jun Zeng
TAAM:Inductive Graph-Class Incremental Learning with Task-Aware Adaptive ModulationJingtao Liu, Xinming Zhang
Rethinking Priority Scheduling for Sequential Multi-Agent Decision Making in Stackelberg GamesXiangyu Liu, Liang Zhang, Bo Jin, Ziqi Wei
$\mu$ACP: A Formal Calculus for Expressive, Resource-Constrained Agent CommunicationArnab, Indraveni
The Power of Information for Intermediate States in Contract DesignYiRui Zhang, Zhixuan Fang
IntentCUA: Learning Intent-level Representations for Skill Abstraction and Multi-Agent Planning in Computer-Use AgentsSeoyoung Lee, Seobin Yoon, Seongbeen Lee, Yoojung Chun, Dayoung Park, Doyeon Kim, Joo Yong Sim
Real-time Cohorting of Nursing Care into BubblesJeffrey Keithley, Tinh Tran, Lucas Zach-Ryan, D M Hasibul Hasan, Brodie McCuen, Sriram Pemmaraju, Bijaya Adhikari
Towards Generalisable Imitation Learning Through Conditioned Transition Estimation and Online Behaviour AlignmentNathan Gavenski, Matteo Leonetti, Odinaldo Rodrigues
CONSENT: A Negotiation Framework for Leveraging User Flexibility in Vehicle-to-Building Charging under UncertaintyRishav Sen, Fangqi Liu, Jose Paolo Talusan, Ava Pettet, Yoshinori Suzue, Mark Bailey, Ayan Mukhopadhyay, Abhishek Dubey
Single-Winner Voting on MatchingsNiclas Boehmer, Jessica Dierking
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision ProcessesMin Zhang, Hongyao Tang, Jianye HAO, YAN ZHENG
Adjusted Winner: from Splitting to SellingRobert Bredereck, Eyal Briman, Bin Sun, Nimrod Talmon
Beyond Scalar Welfare: Enforcing Identity-Aware Equity in Multi-Agent Reinforcement LearningNhat-Hoang P. Nguyen, Thinh Pham, Trung-Hoang Le, sameer alam, Vu N. Duong
A Verification Framework for Obstruction, Probability, and TimeWissal DAHANI, Jean Leneutre, Vadim Malvone, James Ortiz, Axel Oscar
General Flexible $f$-divergence for Challenging Offline RL Datasets with Low Stochasticity and Diverse Behavior PoliciesJianxun Wang, Grant Collier Forbes, Leonardo Villalobos-Arias, David L. Roberts
Boosting Offline MARL under Imbalanced Datasets via Compositional Diffusion ModelsLihe Li, Shenghe Hu, Bingxuan Lan, Yuqi Bian, Huan ZHang, ZhaoMing, Chongjie Zhang, Lei Yuan, Yang Yu
BeWater: Effective Protesters Navigate Watersheds in Street NetworksGuillaume Moinard, Matthieu Latapy
Everyone Contributes! Incentivizing Strategic Cooperation in Multi-LLM Systems via Sequential Public Goods GamesYunhao Liang, Yuan Qu, Jingyuan Yang, Shaochong Lin, Zuo-Jun Shen
The Complexity of Strategic Behavior in Primary ElectionsColin Cleveland, Bart De Keijzer, Maria Polukarov
Lifted Forward Planning in Relational Factored Markov Decision Processes with Concurrent ActionsFlorian Andreas Marwitz, Tanya Braun, Ralf Möller, Marcel Gehrke
Flow-Based Task Assignment for Large-Scale Online Multi-Agent Pickup and DeliveryYue Zhang, Zhe Chen, Daniel Harabor, Pierre Le Bodic, Peter J. Stuckey
Rejecting Arguments Based on Doubt in Structured Bipolar ArgumentationMichael A. Müller, Srdjan Vesic, Bruno Yun
Extremely Large Collective Coalition Formation: ScalabilityNeha G. Pusalkar, Julie A. Adams
Metric Distortion in Peer SelectionJavier Cembrano, Golnoosh Shahkarami
PortfoliQA: An Agentic RAG Framework for Knowledge Graph Question Answering via Structured Evidence PortfoliosWeina Zhang, Junsheng Huang, Zhongqin Bi, Dan Dai
Efficiently Computing Equilibria in Budget-Aggregation GamesPatrick Becker, Alexander Fries, Matthias Greger, Erel Segal-Halevi
Temporal Panel Selection in Ongoing Citizens’ AssembliesYusuf Hakan Kalayci, Evi Micha
Imperfect-Information Games on Quantum Computers: A Case Study in SkatUlrich Armbrüster, Stefan Edelkamp, Gabriel Maresch, Erik Schulze
Teaching an Old Dynamics New Tricks: Regularization-free Last-iterate Convergence in Zero-sum Games via BNN DynamicsTuo Zhang, Leonardo Stella
HyperAgent: Leveraging Hypergraphs for Topology Optimization in Multi-Agent CommunicationHeng Zhang, Yuling Shi, Xiaodong Gu, Zijian Zhang, Haochen You, Lubin Gan, Yilei Yuan, Jin Huang
MA-SafeDiffuser: Safe Multi-Agent Planning with Diffusion Probabilistic ModelsKiran Ravish, Ankita Kushwaha, Preeti, Pawan Kumar
Disobedience in normative multi-agent systemsMarija Slavkovik, Liuwen Yu, Leon Van der Torre, Réka Markovich, Beishui Liao
Finite-State Controllers for (Hidden-Model) POMDPs using Deep Reinforcement LearningDavid Hudák, Maris F. L. Galesloot, Martin Tappler, Martin Kurečka, Nils Jansen, Milan Ceska
VLM-ReG : Vision-Language Models Enhanced via Reward-Refined GRPO in Remote Sensing ReasoningYanzhong Zhou, Biaoxin Li, Zhangling Wang, Chao Wang, Wanpeng Zhang
Learning Truthful Mechanisms without DiscretizationYunxuan Ma, Steven Wang, Zhijian Duan, Yukun Cheng, Xiaotie Deng
Conformal Reachability for Safe Control in Unknown EnvironmentsXinhang Ma, Junlin Wu, Yiannis Kantaros, Yevgeniy Vorobeychik
Perception-Based Beliefs for POMDPs with Visual ObservationsMiriam Schäfers, Merlijn Krale, Thiago D. Simão, Nils Jansen, Maximilian Weininger
A Multi-Robot Architecture for Continuous Planning and Execution using BDI AgentsCarlos Joel Tavares da Silva, Rafael Melo Santos, Rafael C. Cardoso, Célia Ghedini Ralha
A Semi-Decentralized Approach to Multiagent ControlMahdi Al-Husseini, Mykel Kochenderfer, Kyle Hollins Wray
VEsNA-Pro: Exploiting BDI Agents with Propensities for Emergent NarrativeAndrea Gatti, Fabio Casale, Viviana Mascardi, Andrea Stucchi, Angelo Ferrando
Solving Repeated Games with Large Language ModelNaming Liu, Youzhi Zhang, Ying Wen
Information Contagion in Climate-Stressed SME Networks: An Agent-Based Simulation StudyĐoàn Minh Lượng, Nguyen Tu Uyen, Duong Thi Phuong Thao, Duong Thu Ngan, Phong Ho, Nhung Duong, Tuan Do
VGC-Bench: Towards Mastering Diverse Team Strategies in Competitive PokémonCameron L. Angliss, Jiaxun Cui, Jiaheng Hu, Arrasy Rahman, Peter Stone
Active Evaluation of General Agents: Problem Definition and Comparison of Baseline AlgorithmsMarc Lanctot, Kate Larson, Ian Gemp, Michael Kaisers
Optimizing Pool Testing for Epidemic SurveillanceJack Heavey, Abhijin Adiga, Anil Vullikanti
Transparent and Accessible ABMs with FODD: Automatic Code from Formal ODDThemis Dimitra Xanthopoulou, Andreas Prinz, Haakon Bøthun Lunde, Ivan Puga-Gonzalez, F. LeRon Shults
First-Order and Second-Order Model Counting Meet Stable Marriages, Stable Roommates, and Stable DinersVáclav Kůla, Jan Tóth, Yuanhong Wang, Yuyi Wang, Ondrej Kuzelka
Stable Matching: Dealing with Changes in PreferencesRohith Reddy Gangam, Tung Mai, Nitya Raju, Vijay Vazirani
RocqStar: Leveraging Similarity-driven Retrieval and Agentic Systems for Rocq generationAndrei Kozyrev, Nikita Khramov, Gleb Solovev, Anton Podkopaev
MARLIN: LLM-Guided Multi-Agent Reinforcement Learning with Murmuration Intelligence for Reservoir ManagementHeming Fu, Shan Lin, GUOJUN XIONG
Control in Hedonic GamesJiehua Chen, Jakob Guttmann, Merisa Mustajbašić, Sofia Simola
Advancing Multi-Agent RAG system with Minimalist Reinforcement LearningYihong Wu, Liheng Ma, Muzhi Li, Jiaming Zhou, Lei Ding, Jianye HAO, Ho-fung Leung, Irwin King, Yingxue Zhang, Jian-Yun Nie
CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent LearningJiaxun Cui, Chen Tang, Jarrett Holtz, Janice Nguyen, Alessandro G Allievi, Hang Qiu, Peter Stone
The Role of Social Learning and Collective Norm Formation in Fostering Cooperation in LLM Multi-Agent SystemsPrateek Gupta, Qiankun Zhong, Hiromu Yakura, Thomas F. Eisenmann, Iyad Rahwan
Population synthesis with geographic coordinatesJacopo Lenti, Lorenzo Costantini, Ariadna Fosch, Anna Monticelli, David Scala, Marco Pangallo
Interbank Lending GamesJinyun Tong, Bart De Keijzer, Haoxiang Wang, Carmine Ventre
A Novel Framework for Uncertainty-Driven Adaptive ExplorationLeonidas Bakopoulos, Georgios Chalkiadakis
Diverse Mini-Batch Selection in Reinforcement Learning for Efficient Chemical Exploration in de novo Drug DesignHampus Gummesson Svensson, Ola Engkvist, Jon Paul Janet, Christian Tyrchan, Morteza Haghir Chehreghani
QDepth-VLA: Quantized Depth Prediction as Auxiliary Supervision for Vision–Language–Action ModelsYixuan Li, YUHUI CHEN, Mingcai.Zhou, Haoran Li
MeCo: Enhancing LLM-Empowered Multi-Robot Collaboration via Similar Task MemoizationBaiqing Wang, Helei Cui, Bo Zhang, Xiaolong Zheng, Bin Guo, Zhiwen Yu
CRAwDAD: Causal Reasoning Augmentation with Dual-Agent DebateFinn G. Vamosi, Nils Forkert
Mechanism Design for Efficient Task AllocationZifan Gong, Minming Li, Houyu Zhou
Beyond Self-Interest: Modeling Social-Oriented Motivation for Human-like Multi-Agent InteractionsJingzhe Lin, Ceyao Zhang, Yaodong Yang, Yizhou Wang, Song-Chun Zhu, Fangwei Zhong
Learning Robust Markov Models for Safe Runtime MonitoringAntonina Skurka, Luko van der Maas, Sebastian Junges, Hazem Torfah
Multi-Agent Cooperative Transportation: Optimal and Efficient Task Allocation and Path FindingNing Zhou, Nikolai W.F. Bode, Edmund R Hunt
ME-IGM: Individual-Global-Max in Maximum Entropy Multi-Agent Reinforcement LearningWentse Chen, Yuxuan Li, Shiyu Huang, Jiayu Chen, Jeff Schneider
EmoDebt: Bayesian-Optimized Emotional Intelligence for Strategic Agent-to-Agent Debt RecoveryYunbo Long, Yuhan Liu, Liming Xu, Alexandra Brintrup
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement LearningWoojun Kim, Katia P. Sycara
Probing Dec-POMDP Reasoning in Cooperative MARLKale-ab Tessera, Leonard Hinckeldey, Riccardo Zamboni, David Abel, Amos Storkey
Peach: Program Each Agent and Communicate HowsoeverAmit K. Chopra, Samuel H. Christie V, Munindar P. Singh
The Triad of Identity, Trust and Responsibility in Multi-Agent SystemsJayati Deshmukh, Vahid Yazdanpanah, Sebastian Stein, Sarvapali D Ramchurn
Offline Multi-Agent Reinforcement Learning with Global Moderate GeneralizationYuanrui Duan, Wengang Zhou, Yufeng Shi, Xiancheng Gao, Lin Liu, Houqiang Li
Reasoning About Responsibility for Taking RisksMaksim Gladyshev, Natasha Alechina, Mehdi Dastani, Dragan Doder
ATL*AS: An Automata-Theoretic Approach and Tool for the Verification of Strategic Abilities in Multi-Agent SystemsSofia Garcia de Blas Garcia-Alcaide, Francesco Belardinelli
Complexity of (Non-)Convergence in Iterative VotingPaul W. Goldberg, Marios Mavronicolas, Tomasz Wąs
Interpretable Failure Analysis in Multi-Agent Reinforcement Learning SystemsRisal Shahriar Shefin, Debashis Gupta, Thai Le, Sarra Alqahtani
Learning Bayesian Game Families, with Application to Mechanism DesignMadelyn Gatchel, Michael P. Wellman
Bandwidth-constrained Variational Message Encoding for Cooperative Multi-agent Reinforcement LearningWei Duan, Jie Lu, En Yu, Junyu Xuan
My Body, My Perceptions: A Shift from Computationalism to Embodied Cognition in BDI-agent-based Embedded SystemsNilson Lazarin, Carlos Eduardo Pantoja, Jose Viterbo
AC-MASAC: An Attentive Curriculum Learning Framework for Heterogeneous UAV Swarm CoordinationWanhao Liu, Junhong Dai, Yixuan Zhang, Shengyun Yin, Panshuo Li
Can Vibe Coding Beat Graduate CS Students? An LLM vs. Human Coding Tournament on Market-driven Strategic PlanningPanayiotis Danassis, Naman Goel
Learning from Delay Distributions: A New Representation for Delay-Aware Reinforcement LearningZhuoru Yu, Chenchen Fu, Hengkai Zhong, Wanyuan Wang, Weiwei Wu, Chun Jason Xue
Epistemic Modal Logic Meets Algebraic Model CountingDaxin Liu, Vaishak Belle
Unifying Model-Free Efficiency and Model-Based Representations via Latent DynamicsJashaswimalya Acharjee, Balaraman Ravindran
Heterogeneous RBCs via deep multi-agent reinforcement learningFederico Gabriele, Aldo Glielmo, Marco Taboga
Beyond Neighbor Influence: A Behavior-Driven Agent-Based Model of SilenceZiqian Shi, Rosa M Benito
Exploring Relations among Fairness Notions in Discrete Fair DivisionJugal Garg, Eklavya Sharma
When is Offline Policy Selection Sample Efficient for Reinforcement Learning?Vincent Liu, Prabhat Nagarajan, Andrew Patterson, Martha White
TEACH: Temporal Variance-Driven Curriculum for Reinforcement LearningGaurav Chaudhary, Laxmidhar Behera
Identifying the Source of Information Spread in Networks via Markov ChainsYael Sabato, Amos Azaria, Noam Hazon
Heartbeat Synchronization in Large Multi-Agent Systems Using One-Way CommunicationFederico Bergenti, Simone Dallospedale, Stefania Monica
A Unified Framework for Analyzing Meta-algorithms in Online Convex OptimizationMohammad Pedramfar, Vaneet Aggarwal
Generating Fair Consensus Statements with Social Choice on Token-Level MDPsCarter Blair, Kate Larson
Fairness over Equality: Correcting Social Incentives in Asymmetric Sequential Social DilemmasAlper Demir, Hüseyin Aydın, Kale-ab Tessera, David Abel, Stefano V. Albrecht
LLMEvalRec: An Agentic Framework for Simulating Users to Evaluate News Recommendation SystemsYao Ma, Abhishek Tripathi, Samuel Louvan, Wei Liu, Murat Sensoy
HLSMAC: A New StarCraft Multi-Agent Challenge for High-Level Strategic Decision-MakingXingxing Hong, Yungong Wang, Dexin Jin, Ye Yuan, Ximing Huang, Zijian Wu, Yirui Rao, Wenxin Li
A Three-Layer Reinforcement Learning-based Approach for Dynamic Task Allocation Under Multiple Task Resource ConstraintsShuo Wang, Yuzhen Zhang, Hao Su, Yazhou Hu, Pei Lv
Project Submission Games in Participatory BudgetingPiotr Faliszewski, Łukasz Janeczko, Andrzej Kaczmarczyk, Grzegorz Lisowski, Grzegorz Pierczyński
Eliminating Inconsistencies among CP-Theory Qualitative PreferencesErik Rauer, Samik Basu, Vasant G. Honavar, Jia Tao
EG-RAG: Retrieval-Augmented Generation with Evidence Graph for Reliable Multi-Document ReasoningSeunggwan Hong, Junhyung Moon, Eunkyeong Lee, Jaehyoung Park, Hyunseung Choo
Quality-Diversity for Multi-Agent Reinforcement LearningHao Chen, Pengyi Li, Bin Zhang, Hu Fu, Zhiwei Xu, Ce Zhang, Xinyue Lu, Guoliang Fan
UNCAP: Uncertainty-Guided Neurosymbolic Planning Using Natural Language Communication for Cooperative Autonomous VehiclesNeel P. Bhatt, Po-han Li, Kushagra Gupta, Rohan Siva, Daniel Milan, Alexander Todd Hogue, Sandeep P. Chinchali, David Fridovich-Keil, Zhangyang Wang, ufuk topcu
Modeling Human Behavior in a Strategic Network Game With Complex Group DynamicsJonathan Berry Skaggs, Jacob Crandall
Strength Change Explanations in Quantitative ArgumentationTimotheus Kampik, Xiang Yin, Nico Potyka, Francesca Toni
Modelling Customer Trajectories with Reinforcement Learning for Practical Retail InsightsKen Ming Lee, Paul Barde, Maxime C. Cohen, Derek Nowrouzezahrai
Online Sensor Grouping via Multi-Agent Learning Automata: An Ising Model PerspectiveAnis Yazidi, Marco Antonio Pinto-Orellana, Youcef Djenouri
Multi UAVs Preflight Planning in a Shared and Dynamic AirspaceAmath SOW, Mauricio Rodriguez Cesen, Fabíola Martins Campos de Oliveira, Mariusz Wzorek, Daniel de Leng, Mattias Tiger, Fredrik Heintz, Christian Esteve Rothenberg
Feasible Constraint Policy Optimization for Safe Reinforcement LearningLuoyang Sun, Jiwen Jiang, Ning Yang, Rasul Tutunov, Haifeng Zhang, Jun Wang
Inference of Altruism and Intrinsic Rewards in Multi-Agent SystemsVictor Villin, Christos Dimitrakakis
The Multi-Agent Off-Switch GameAkash Agrawal, Soroush Ebadian, Lewis Hammond
Fluid-Agent Reinforcement LearningShishir Sharma, Doina Precup, Theodore Perkins
Confounding Robust Continuous Control via Automatic Reward ShapingMateo Juliani, Mingxuan Li, Elias Bareinboim
Functional Multi-armed Bandit and the Best Function Identification ProblemsYuriy Dorn, Aleksandr Katrutsa, Ilgam Latypov, Anastasiia Soboleva
Cleaner Adversarial CAPTCHAs: Intelligent Targets and Precise Noise for Usable SecurityMeir Litman, Chen Hajaj
Translating Latent State World Model Representations into Natural LanguageMatthew Barker, Matteo Leonetti
Online Fair Division With Subsidy: When Do Envy-Free Allocations Exist, and at What Cost?Pooja Ravi Kulkarni, Ruta Mehta, Vishnu V. Narayan, Tomasz Ponitka
Towards Foresighted AI Cooperators with LLM-driven Decision-Time PlanningYuheng Jing, Kai Li, Bingyun Liu, Ziwen Zhang, Zhe Wu, Yifan Zhang, Junliang Xing, Jian Cheng
Greedy Routing Reachability GamesPascal Lenzner, Paraskevi Machaira
Robust Information Design for Multi-Agent Systems with Complementarities: Smallest-Equilibrium Threshold PoliciesFarzaneh Farhadi, Maria Chli
A General Incentives-Based Framework for Fairness in Multi-agent Resource AllocationAshwin Kumar, William Yeoh
Don’t Blind Your VLA: Aligning Visual Representations for OOD GeneralizationNikita Kachaev, Mikhail Kolosov, Daniil Zelezetsky, Alexey Kovalev, Aleksandr Panov
Scalable Knothe--Rosenblatt-like Heuristic Transportation Plans for Imaging ProblemsGennaro Auricchio, Min Lin, Lingxuan Zhou, Zhaori Guo, zhongqi cai
Adaptive Agents in Spatial Double-Auction Markets: Modeling the Emergence of Industrial SymbiosisMatthieu Mastio, Benoit Gaudou, Paul Saves, Nicolas Verstaevel
Multi-Agent Pickup and Delivery with Heterogeneous AgentsBenedetta Flammini, Francesco Amigoni, Bruno Lacerda
Calibrated LRT Guidance for Offline Diffusion PoliciesXiman Sun, Xiang Cheng
A Generic Framework for Fair Consensus Clustering in StreamsDiptarka Chakraborty, Kushagra Chatterjee, Debarati Das, Tien-Long Nguyen
Fairness in Cooperative Multi-objective Multi-agent Reinforcement Learning using Expected UtilityFares Chouaki, Aurélie Beynier, Nicolas Maudet, Paolo Viappiani
Kidney Exchange: Faster Parameterized Algorithms and Tighter Lower BoundsPalash Dey, Aritra Banik, Abhishek Sahu, Sujoy Bhore
CentaurMD: Confidence-Aware Human–AI Decision Fusion for Multi-Label Disease Diagnosis via Label-Specific MoEYoucheng Zhang, Hui Wang, Jiaqi Liu, Yao Zhang, Zhiwen Yu, Bin Guo
MEASE: Multi-agent Episodic Action Sequence ExplanationKhaing Phyo Wai, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
Neuro-symbolic Action Masking for Deep Reinforcement LearningShuai Han, Mehdi Dastani, Shihan Wang
LLM-augmented empirical game theoretic simulation for socio-ecological systemsJennifer Shi, Christopher K. Frantz, Christian Kimmich, Saba Siddiki, Atrisha Sarkar
Solving Qualitative Multi-Objective Stochastic GamesMoritz Graf, Anthony Widjaja Lin, R Majumdar
MENSA: Leveraging Mental Simulation for In-Context Policy Improvement in LLM AgentsChung-Che Chang, Erick Chandra, Jane Yung-jen Hsu, Yen-Ling Kuo
Truthful Reporting of Competence with Minimal VerificationReshef Meir, Jonathan Wagner, Omer Ben-Porat
Robust Sequential Learning in Random Order NetworksWilliam Guo, Edward Xiong, Jie Gao
Delayed Assignments in Online Non-Centroid Clustering with Stochastic ArrivalsSaar Cohen
TriBand-BEV: Real-Time LiDAR-Only 3D Pedestrian Detection via Height-Aware BEV and High-Resolution Feature FusionMohammad Khoshkdahan, Alexey Vinel
A Radius-Sensitive Approximation Algorithm for Connected Submodular MaximizationPhilip Cervenjak, Junhao Gan, Naonori Kakimura, Seeun William Umboh, Anthony Wirth
Dynamic Action Space Reinforcement Learning for Optimal Trading ExecutionPangjing Wu, Xiaodong Li
Multi-Objective Categorical Deep Q-NetworksFares Chouaki, Aurélie Beynier, Nicolas Maudet, Paolo Viappiani
Peer-Aware Cost Estimation in Nonlinear General-Sum Dynamic Games for Mutual Learning and Intent InferenceSeyed Yousef Soltanian, Wenlong Zhang
Risk-aware Flow Tuning for Collective Emotion in Social Media via Multi-agent RLRuyi Wang, R L Hill, J. Michael Herrmann
Wallet ATL: Towards Reliable Smart Contract VerificationAngelo Ferrando, Blondelle Kana Zanlefack, Vadim Malvone
Planning Ahead with RSA: Efficient Signalling in Dynamic Environments by Projecting User Awareness across Future TimestepsAnwesha Das, John Duff, Jörg Hoffmann, Vera Demberg
STO-RL: OFFLINE RL UNDER SPARSE REWARDS VIA LLM-GUIDED SUBGOAL TEMPORAL ORDERChengyang GU, Yuxin Pan, Hui Xiong, Yize Chen
Puzzle it Out: Local-to-Global World Model for Offline Multi-Agent Reinforcement LearningSijia Li, Xinran Li, Shibo Chen, Jun Zhang
The Agency Circuit: A Neuro-Symbolic Solution for Mitigating Policy Collapse in Reinforcement LearningMahnoor Shahid
Utility Aware Adaptive Privacy Budget Allocation for Streaming Multi-Agent SystemsPuspanjali Ghoshal, Ashok Singh Sairam
Universal Solvability for Robot Motion Planning on GraphsAnubhav Dhar, Pranav Nyati, Tanishq Prasad, Ashlesha Hota, Sudeshna Kolay
Modifying Preferences and Capacities for Stability in Flow Networks: Algorithms and ComplexityGergely Csáji, Kitti Varga
Human-Inspired Context-Selective Multimodal Memory for Social RobotsHangyeol Kang, Slava Voloshynovskiy, Nadia Thalmann
A Hierarchical Approach with Crisis Mitigation for Multi-Robot Spatio-Temporal RestorationAmel Nestor Docena, Alberto Quattrini Li
From User Preferences to Base Score Extraction Functions in Gradual ArgumentationAniol Civit, Antonio Rago, Antonio Andriella, Guillem AlenyÃ, Francesca Toni
Modeling and Optimizing the Provisioning of Exhaustible Capabilities for Simultaneous Task Allocation and SchedulingJinwoo Park, Harish Ravichandar, Seth Hutchinson
End-to-End Decision-Focused Prediction in Dynamic Bike-Sharing RebalancingPengbo Fu, Chongyang Wan, Yuan Luo
EFX Allocations Exist on Triangle-Free Multi-GraphsMahyar Afshinmehr, Arash Ashuri, Pouria Mahmoudkhan, Kurt Mehlhorn
Wisdom of the Machines: Exploring Collective Intelligence in LLM CrowdsYashar Talebirad, Ali Parsaee, Vishwajeet Ohal, Amirhossein Nadiri, Csongor Szepesvari, Yash Mouje, Eden Redman
Majoritarian Assignment RulesFelix Brandt, Haoyuan Chen, Chris Dong, Patrick Lederer, Alexander Schlenga
Modeling Dynamics under Random Delays in Reinforcement LearningBokai Ji, Guangxia Li, Yulong Shen
Synthesis and Evaluation of Long-term History-aware Medical DialogueHebin Hu, Renke Dai, Ah-Hwee Tan, Yilin Kang
Stigmergic Swarming Agents for Fast Subgraph IsomorphismH. Van Dyke Parunak
Ratio-Based Signaling for Source-Victim Separation in Swarm Fault DetectionLongyin Cui
From Actions to Words: Towards Abstractive-Textual Policy Summarization in RLSahar Admoni, Assaf Hallak, Yftah Ziser, Omer Ben-Porat, Ofra Amir
Contrastive explanations of BDI agentsMichael Winikoff
IMAS$^2$: Joint Agent Selection and Information-Theoretic Coordinated Perception In Dec-POMDPsChongyang Shi, Wesley A. Suttle, Michael Dorothy, Jie Fu
Scaling Multi-Agent Epistemic Planning through GNN-Derived HeuristicsGiovanni Briglia, Francesco Fabiano, Stefano Mariani
ReGMS: Retrieval‑Grounded Multi‑Agent Scenario Analysis for Climate RiskYun Wing Kiang, King Hang LAM
Coherent belief and opinion propagation produces more echo chambersHiro Kataoka, Jérôme Euzenat, Koji Hasebe
Algorithmic Collusion at Test Time: A Meta-game Design and EvaluationYuhong Luo, Daniel Schoepflin, Xintong Wang
RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement LearningJinrui Liu, Bingyan Nie, Boyu Li, Yaran Chen, Yuze Wang, Shunsen He, Haoran Li
SAT: Sequential Agent Tuning for Coordinator‑Free Plug‑and‑Play Multi‑LLM Training with Monotonic Improvement GuaranteesYi Xie, Yangyang Xu, Yi Fan, Bo Liu
Flexibility-Based Traffic Flow Optimisation in Lifelong Multi-Agent Path FindingPeiqian Lin, Zhe Chen, David L. Dowe, Daniel Harabor
Axiomatic Foundations of Counterfactual ExplanationsLeila Amgoud, Martin C. Cooper
The Reachability Objective in Multi-Agent Path FindingNoy Gabay, Jonathan Morag, Ariel Felner, Roni Stern
Approximating Nash Equilibria in General-Sum Games via Meta-LearningDavid Sychrovský, Christopher Solinas, Revan MacQueen, Kevin A. Wang, James R. Wright, Nathan R. Sturtevant, Michael Bowling
Heterogeneity in Multi-Agent Reinforcement LearningTianyi Hu, Zhiqiang Pu, Yuan Wang, Tenghai Qiu, Min Chen, Xin Yu
Towards Failure-Resilient Lifelong Learning Agents through Scene Graph-Guided Proactive ReplanningChe Rin Yu, Daewon Chae, Dabin Seo, Sangwon Lee, Hyeongwoo IM, Jinkyu Kim
PREFINE: Preference-based Implicit Reward and Cost Fine-tuning for Safety AlignmentRicha Verma, Bavish Kulur, Sanjay Chawla, Balaraman Ravindran
Equitable Core Imputations for Max-Flow, MST and $b$-Matching GamesRohith Reddy Gangam, Naveen Garg, Parnian Shahkar, Vijay Vazirani
Enhancing Goal Inference via Correction TimingAnjiabei Wang, Shuangge Wang, Tesca Fitzgerald
Robust Value Maximization in Challenge the Champ Tournaments with Probabilistic OutcomesUmang Bhaskar, Juhi Chaudhary, Sushmita Gupta, Pallavi Jain, Sanjay Seetharaman
Maximin Shares with Lower QuotasHirota Kinoshita, Ayumi Igarashi
Multiagent System for Dynamic Multicriteria Traffic Routing in Urban EnvironmentsTemirlan Kurbanov, Adéla Kubíková, Jiri Vokrinek, Franziska Klügl
Byzantine Fault Tolerance in Distributed Constraint Optimization ProblemsKoji Noshiro, Koji Hasebe
Smooth Routing in Decaying TreesTill Fluschnik, Amela Pucic, Malte Renken
Online Learning of Numeric Action Models for PlanningArgaman Mordoch, Yarin Benyamin, Shahaf S. Shperberg, Brendan Juba, Roni Stern
A Survey Of Reinforcement Learning For Autonomous Air Combat: Current Progresses And LimitationsAlex Pierron, Thibault Lahire
Retrieval and Argumentation Enhanced Multi-Agent LLMs for Judgmental ForecastingDeniz Gorur, Antonio Rago, Francesca Toni
Fair Coordination in Strategic SchedulingWei-Chen Lee, Martin Bullinger, Alessandro Abate, Michael J. Wooldridge
Automatically Benchmarking LLM Code Agents through Agent-driven Annotation and EvaluationLingyue Fu, Bolun Zhang, Hao Guan, Yaoming Zhu, Lin Qiu, Weiwen Liu, Xuezhi Cao, Xunliang Cai, Weinan Zhang, Yong Yu
GroupDebate: Enhancing the Efficiency of Multi-Agent Debate Using Group DiscussionTongxuan Liu, Xingyu Wang, Weizhe Huang, Wenjiang Xu, Yuting Zeng, Lei Jiang, Hailong Yang, Jing Li
PIQL: Projective Implicit Q-Learning with Support Constraint for Offline Reinforcement LearningXinchen Han, Hossam Afifi, Michel Marot
Assessing VLM-Driven Semantic-Affordance Inference for Non-Humanoid Robot MorphologiesRob Jones, Sabine Hauert, Raul Santos-Rodriguez
Multi-Agent Decision S4: Leveraging State Space Models for Offline Multi-Agent Reinforcement LearningAshmita Bhattacharya, Malyaban Bal
Learning Robust Policy for Multi-UAV Collision Avoidance via Compact Causal FeatureZhun Fan, Gaofei Han, Che Lin, Wenji Li, jie xu, Jiafan Zhuang
Follow the STARs: Dynamic $\omega$-Regular Shielding of Learned Probabilistic PoliciesAshwani Anand, Satya Prakash Nayak, Ritam Raha, Anne-Kathrin Schmuck
KAN-Enhanced Graph Learning for Active Voltage Control in Dynamic Power SystemsLiqian Sun, Hang Xiao, Shuhan Qi, Huale Li, Jiajia Zhang, Xuan Wang
SESiL: Social, Evolutionary Supported LearningTianshu Zhao, Zinovi Rabinovich
BusEnv: A Multi-agent Reinforcement Learning Environment and Benchmark for Urban Public TransportationWESLEY DA SILVA E SILVA, RICARDO RIOS, RAFAEL DA COSTA FONSECA, Sabarikirishwaran Ponnambalam, Léa Cassé, Marcos Vinícius dos Santos Ferreira, Albert Bifet, Tatiane Nogueira Rios
IPD: Boosting Sequential Policy with Imaginary Planning Distillation in Offline Reinforcement LearningYihao Qin, Yuanfei Wang, Hang Zhou, Peiran Liu, Hao Dong, Yiding Ji
Dynamically Increasing Agents Set-Size in Bayesian Multi-agent Multi-armed Bandits FrameworkMohammad ESSA Alsomali, Leandro Soriano Marcolino, Barry Porter, Roberto Rodrigues-Filho
GAPS: Global-Aware Prediction-driven Scheduling for Large-Scale LLM InferenceZhengyu Liu, Fan Zhang, Fengzhe Zhang, Shuaikang Hou
Fair Allocation of Improvements: When Old Endowments Shape New AssignmentsNoga Klein Elmalem, Rica Gonen, Erel Segal-Halevi
MORL4Water: A Modular Multi-Objective Reinforcement Learning Toolkit for Water Resource ManagementZuzanna Osika, Roxana Rădulescu, Jazmin Zatarain Salazar, Frans A Oliehoek, Pradeep K. Murukannaiah
Minimax and Preferential Almost-Stable MatchingsFrederik Glitzner, David Manlove
Global Convergence to Nash Equilibrium in Nonconvex General-Sum Games under the $n$-Sided PL ConditionYutong Chao, Jalal Etesami
QD-MAPPER: A Quality Diversity Framework to Automatically Evaluate Multi-Agent Path Finding Algorithms in Diverse MapsCheng Qian, Yulun Zhang, Varun Bhatt, Matthew Christopher Fontaine, Stefanos Nikolaidis, Jiaoyang Li
Token-level Advantage Policy Optimization from Negative Feedback in Multi-Turn AgentsXufeng Zhou, Linjing Li, Daniel Dajun Zeng
Outer Diversity of Structured DomainsPiotr Faliszewski, Krzysztof Sornat, StanisÅ‚aw Szufa, Tomasz Wąs
Population size effects on strategic classification dynamicsMarta C. Couto, Flavia Barsotti, Fernando P. Santos
On the Fair Allocation to Asymmetric Agents with Binary XOS ValuationsZiheng Chen, Bo Li, Zihan Luo, Jialin Zhang
Stable Marriage on NetworksMiao Li, Xinwei Song, Dengji Zhao
Stability in Online Assignment GamesEmile Martinez, Felipe Garrido-Lucero, Umberto Grandi
Synthesis of Safety Specifications for Probabilistic SystemsGaspard Ohlmann, Edwin Hamel-de le Court, Francesco Belardinelli
Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned EmbeddingsZhizun Wang, David Meger
Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World SuccessGeorge Bredis, Stanislav Dereka, Viacheslav Sinii, Ruslan Rakhimov, Daniil Gavrilov
D³MAS: Decompose, Deduce, and Distribute for Enhanced Knowledge Sharing in Multi-Agent SystemsHeng Zhang, Yuling Shi, Xiaodong Gu, Haochen You, Zijian Zhang, Lubin Gan, Yilei Yuan, Jin Huang
On Angels and Demons: Strategic (De)Construction of Dynamic Modelsdavide catta, Rustam Galimullin, Munyque Mittelmann
Obnoxious Facility Location Problems: Strategyproof Mechanisms Optimizing $L_p$-Aggregated Utilities and CostsHau Chan, Jianan Lin, Chenhao Wang
General Dynamic Goal Recognition using Goal-Conditioned and Meta Reinforcement LearningOsher Elhadad, Owen Morrissey, Reuth Mirsky
Feature-based Uncertainty Model for School ChoiceYao Zhang, Makoto Yokoo
Enabling User Agency in Scalable Content Recommendations with Large Language ModelsYucheng Li, Gerrit J.J. Van den Burg, Wei Liu, Zhunxuan Wang, Abhishek Tripathi, Murat Sensoy
Reconstructing Network Outbreaks under Group SurveillanceRitwick Mishra, Abhijin Adiga, Anil Vullikanti
IntRec: Intent-based Retrieval with Contrastive RefinementPourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Yue Lu
Parallelized Planning-Acting for Multi-Agent LLM Systems in MinecraftYaoru Li, Shunyu Liu, Tongya Zheng, Li Sun, Mingli Song
Computational Aspects of Plan-Dependent Model Equivalence: The Case of Knowing-How BisimulationsCarlos Areces, Raul Fervari, Antonio Mondejar
ReAcTree: Hierarchical LLM Agent Trees with Control Flow for Long-Horizon Task PlanningJae-Woo Choi, Hyungmin Kim, Hyobin Ong, Youngwoo Yoon, Minsu Jang, DohyungKim, Jaehong Kim
PyVRP$^{+}$: LLM-Driven Metacognitive Heuristic Evolution for Hybrid Genetic Search in Vehicle Routing ProblemsManuj Malik, Jianan Zhou, Shashank Reddy Chirra, Zhiguang Cao
Maximizing the Egalitarian Welfare in Friends and Enemies GamesEdith Elkind, Michele Flammini, Giovanna Varricchio
Relationships and Connections between Definitions of Metric Proportional RepresentationYusuf Hakan Kalayci, David Kempe
The Landscape of Almost Equitable AllocationsHadi Hosseini, Vishwa Prakash HV, Aditi Sethia, Jatin Yadav
Fair Division under Laminar Matroid Constraints for Three AgentsSarfaraz Equbal
Integrating Counterfactual Simulations with Language Models for Explaining Multi-Agent BehaviourBalint Gyevnar, Christopher G. Lucas, Stefano V. Albrecht, Shay B Cohen
AltNet: Addressing the Plasticity-Stability Dilemma in Reinforcement LearningMansi Maheshwari, John C. Raisbeck, Bruno Castro da Silva
Necessary President in Elections with PartiesKatarína Cechlárová, Ildikó Schlotter
Clone-Robust Weights in Metric Spaces: Handling Redundancy Bias in Benchmark AggregationDamien Berriaud, Roger Wattenhofer
Developing Guidelines for Human-LLM Agent Teams: A Multi-Stakeholder LensMireia Yurrita, Davide Dell'Anna, Pradeep K. Murukannaiah, Catholijn M Jonker, Pinar Yolum
DEpiABS: Differentiable Epidemic Agent-Based SimulatorZhijian Gao, Shuxin Li, Bo An
On-line Learning in Tree MDPs by Treating Policies as Bandit ArmsAnvay Shah, Ramsundar Anandanarayanan, Sharayu Moharir, Shivaram Kalyanakrishnan
Dual-Enhanced Model-Based Policy Optimization: Dynamic Bias-Shift Tradeoff and Adaptive Bidirectional RolloutYuetian Wang, Dianxi Shi, Huanhuan Yang, Yuanze Wang, Shiming Song, Chunping Qiu
MAStitch: Unifying Local and Global Perspectives for Anomaly Detection in Multi-Agent SystemsLior Waknin, Yarin Yerushalmi Levi, Ron Solomon, Jaidip Kotak, Amit Giloni, Chiara Picardi, Roman Vainshtein, Yuval Elovici, Asaf Shabtai
Reducing Overestimation by Measuring Critic Disagreement in Multi-Critics ArchitecturesNitsan Soffair, Gilad Katz
Large Language Models for Designing Participatory Budgeting RulesNguyen T Thach, Xingchen Sha, Hau Chan
Distributed Quantum Gaussian Processes for Multi-Agent SystemsMeet Gandhi, George P. Kontoudis
Constrained Multi-Agent Reinforcement Learning with MAF-Net for Safe Trajectory PlanningBizhao Pang, Mingcheng Zhang, Xinting Hu, Thinh Pham, sameer alam, Guglielmo Lulli
Timing the Message: Language-Based Notifications for Time-Critical Assistive SettingsYa-Chuan Hsu, Jonathan DeCastro, Andrew Silva, Guy Rosman
Beyond Outcome-Based Imperfect-Recall: Higher-Resolution Abstractions for Imperfect-Information GamesYanchang Fu, Qiyue Yin, Shengda Liu, Pei Xu, Kaiqi Huang
Reputation as a Solution to Cooperation Collapse in LLM-based MASsSiyue Ren, Wanli Fu, Xinkun Zou, Chen Shen, Yi Cai, Chu chen, Zhen Wang, Shuyue Hu
Sim2Sea: Sim-to-Real Policy Transfer for Maritime Vessel Navigation in Congested WatersXinyu Cui, Xuanfa Jin, Xue Yan, Yongcheng Zeng, Luoyang Sun, Wei Siying, Ruizhi Zhang, Jian Zhao, Haifeng Zhang, Jun Wang
Procedural Knowledge Improves Agentic LLM WorkflowsVincent Hsiao, Mak Roberts, Leslie N. Smith
Think Fast! Learning to Control Online Reasoning in Stochastic EnvironmentsMatthew Budd, Bruno Lacerda, Nick Hawes
GLEAR: A Graph Logic-Enhanced RAG Framework for Legal QAJingyun Sun, Jiaming Tian, Jie Shi, Yixin Zhang, Wenxi Sheng, Yang Li
Robust autobidding for noisy conversion prediction modelsAndrey Pudovikov, Khirianova Alexandra, Ekaterina Solodneva, Gleb Molodtsov, Aleksandr Katrutsa, Yuriy Dorn, Egor Samosvat
Hierarchical Reward Design from Language: Enhancing Alignment of Agent Behavior with Human SpecificationsZhiqin Qian, Ryan Diaz, Sangwon Seo, Vaibhav Unhelkar
Generalized Per-Agent Advantage Estimation for Multi-Agent Policy OptimizationSeongmin Kim, Giseung Park, Woojun Kim, Jiwon Jeon, Seungyul Han, Youngchul Sung
AutoMETA: A Multi-Agent LLM System for Autonomous Meta-AnalysisKunhee Ryu, Keeheon Lee
Learning to maintain safety through expert demonstrations in settings with unknown constraints: A Q-learning perspective.George Papadopoulos, George Vouros
On Minimal Achievable Quotas in Multiwinner VotingPatrick Becker, Fabian Frank
Truthful Reverse Auctions for Adaptive Selection via Contextual Multi-Armed BanditsPronoy Patra, Sankarshan Damle, Manisha Padala, Sujit Gujar
Participation Incentives in Online Cooperative GamesHaris Aziz, Yuhang Guo, Zhaohong Sun
UAM-MARL: Uncertainty-Aware Modality-Enhanced Multi-Agent Reinforcement Learning with LLM-Guided Graph PoliciesZichen Song, Weijia Li
Building Large-Scale Drone Defenses from Small-Team StrategiesGrant Douglas, Stephen Franklin, Claudia Szabo, Mingyu Guo
Theory of Mind Guided Strategy Adaptation for Zero-Shot CoordinationAndrew Ni, Simon Stepputtis, Stefanos Nikolaidis, Michael Lewis, Katia P. Sycara, Woojun Kim
Guiding Neuro-Symbolic Scenario Generation with Spatio-Temporal LogicLorenzo Bonin, Francesco Giacomarra, Luca Bortolussi, Jyotirmoy V. Deshmukh, Francesca Cairoli
MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making AgentsSimon Rosen, Siddarth Singh, Ebenezer Gelo, Helen Robertson, Ibrahim Suder, Victoria Williams, Benjamin Rosman, Geraud Nangue Tasse, Steven James
Beyond Vibe Decision Theory: Asymmetric Manipulation Vulnerabilities in LLM Multi-Agent CoordinationSukanya Krishna, Tobin South
Bi-Level Policy Optimization with Nyström HypergradientsArjun Prakash, Naicheng He, Denizalp Goktas, Amy Greenwald
Placing Green Bridges Optimally, with Close-Range Habitats in Sparse GraphsChristian Wallisch, Till Fluschnik, Leon Kellerhals
SIGMAS: Second-Order Interaction-based Grouping for Overlapping Multi-Agent SwarmsMinah Lee, Saibal Mukhopadhyay
Efficiently Computing Approximate Nash Equilibria in Multi-Adversarial Team GamesPrasanna Maddila, Régis Sabbadin, Meritxell Vinyals
The Facility Location Problem with Aleatory AgentsGennaro Auricchio, Jie Zhang
Deception and Communication in Autonomous Multi-Agent Systems: An Experimental Study with Among UsMaria Milkowski, Tim Weninger
Team of Rivals: Hierarchical Deep Reinforcement Learning and Behavior Cloning for Multiplayer PokerAvishag Shapira, Ido Rom, Asaf Shabtai, Gilad Katz
DELL: Dual-Knowledge Enhanced LLMs for Precise Decision Making in HealthcareDanying Mo, Chao Yu, Xuan Lin, Zhongqi Wu, Yuheng Luo, Chen Bai, Chaojin Chen
Learning Hierarchical Procedural Memory for LLM Agents through Bayesian Selection and Contrastive RefinementSaman Forouzandeh, Wei Peng, Parham Moradi, Xinghuo Yu, Mahdi Jalili
SocraticAgent: An Autonomous Agent for Unlocking Latent Knowledge in LLMsYang Yan, Yu Lu, Renjun Xu, Zhenzhong Lan
Bons-AI: An Agent-Based Model to evaluate the behavior of bonsai grower according to different levels of communication and experienceSara Saori Satake, Guilherme Henrique de Souza Nakahata, Claus Aranha
DR2: Revisiting Visual Reinforcement Learning from the Dimensional Analysis PerspectiveChuxiong Sun, Jinli Chen, Zehua Zang, Jiangmeng Li, Rui Wang, Changwen Zheng
Conflict-Based Search for Multi Agent Path Finding with Asynchronous ActionsXuemian Wu, Shizhe Zhao, Zhongqiang Ren
Sample-Efficient Policy Space Response Oracles with Joint Experience Best ResponseAriyan Bighashdel, Thiago D. Simão, Frans A Oliehoek
Social Welfare Maximization in Approval-Based Committee Voting under UncertaintyHaris Aziz, Yuhang Guo, venkateswara Rao Kagita, Baharak Rastegari, Mashbat Suzuki
Robustness of Stable Matchings When Attributes and Salience Determine PreferencesAmit Ronen, S. S. Ravi, Sarit Kraus
Individual Rationality in Constrained Hedonic Games: Additively Separable and Fractional PreferencesFoivos Fioravantes, Harmender Gahlawat, Nikolaos Melissinos, Å imon Schierreich
Node-Level Federated Learning with Adaptive Personalized Aggregation for Spatio-Temporal Traffic PredictionXiaoying Tu, Ying Lin, Xingjian Lu, Yibing Wang, Bo Hu
LLM Performance Predictors: Learning When to Escalate in Hybrid Human-AI Moderation SystemsOr Bachar, Or Levi, Sardhendu Mishra, Adi Levi, Manpreet Singh Minhas, Justin Miller, Omer Ben-Porat, Eilon Sheetrit, Jonathan Morra
Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data GenerationAja Khanal, Kaushik Tushar Ranade, Rishabh Agrawal, Kalyan Shankar Basu, Apurva Narayan
Alternating-Time Temporal Logic with Dependent StrategiesJessica L. Newman, Enrico H. Gerding, Enrico Marchioni, Baharak Rastegari
Issues with measuring task complexity via random policies in robotic tasksReabetswe M. Nkhumise, Mohamed S. Talamali, Aditya Gilra
Pareto-guided Pipeline for Distilling Featherweight AI Agents in Mobile MOBA GamesXionghui Yang, Bozhou Chen, Yunlong Lu, Yongyi Wang, Lingfeng Li, Lanxiao Huang, Lin Liu, Wenjun Wang, Meng Meng, Xia Lin, Wenxin Li
Graph-Conditioned Diffusion for Offline Multi-Agent Reinforcement LearningLuis Manuel Pimentel, Minwoo Cho, Sean Charles Ye, James E. G. Pagan, Matthew Craig Gombolay
Altruism and Fair Objective in Mixed-Motive Markov gamesFranck XU, Tayeb LEMLOUMA, Arnaud Braud, Jean-Marie Bonnin
Safe Reinforcement Learning via Recovery-based Shielding with Gaussian Process Dynamics ModelsAlex Goodall, Francesco Belardinelli
Learning to Price: Interpretable Attribute-Level Models for Dynamic MarketsSrividhya Sethuraman, Chandra Shekar Lakshminarayanan
R-Debater: Retrieval-Augmented Debate Generation through Argumentative MemoryMaoyuan Li, Zhongsheng Wang, Haoyuan Li, Jiamou Liu
OWLViz: An Open-World Benchmark for Visual Question AnsweringThuy Nguyen, Dang Nguyen, Hoàng Nguyễn, Thuan Duc Luong, Franck Dernoncourt, Long Hoang Dang, Viet Dac Lai
Exploring Cognitive Bias Impact, Detection and Mitigation in Large Language ModelsAna Gutiérrez-Mandingorra, Stella Heras, Javier Palanca, Vicent Botti
Federated Gaussian Process Learning via Pseudo-Representations for Large-Scale Multi-Robot SystemsSanket A Salunkhe, George P. Kontoudis
Multigranular Alignment via Linguistic Decomposition and Reward Optimization for Text to Image DiffusionHengrui Liu, Luming Jin, Meng-Fen Chiang
Grassroots Federation: Fair Democratic Governance at ScaleNimrod Talmon, Ehud Shapiro
DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable EnvironmentsAnindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Nathan Jacobs, Yevgeniy Vorobeychik
Scalable and Safe Multi-Agent Coordination with Reconstructed Level-k Monte Carlo Tree SearchZhihao Lin, Lin Wu, Zhen Tian, Alessio Lomuscio, Jianglin Lan

Accepted as Extended Abstract

TitleAuthors
Resolving Task Objective Conflicts in Unified Model via Task-Aware Mixture-of-ExpertsJiaxing Zhang, Hao Tang
Learning Rewards, Not Labels: Adversarial Inverse Reinforcement Learning for Machinery Fault DetectionDhiraj Neupane, Richard Dazeley, Mohamed Reda Bouadjenek, Sunil Aryal
Constant-Memory Strategies in Stochastic Games: Best Responses and EquilibriaFengming ZHU, Fangzhen Lin
Fast and Robust Information Spreading in the Noisy PULL ModelNiccolò D'Archivio, Amos Korman, Emanuele Natale, Robin Vacus
A Ceteris Paribus Borda Solution to the Social Ranking ProblemRachel Ruellé, Stefano Moretti, Ozturk Meltem
A Multimodal AI Approach for Predicting Personal Privacy Preferences in Photo SharingYuqi Niu, Kejia Zhang, Weidong Qiu, Nadin Kokciyan
Mind-Inference for Multi-Turn Emotional Support: Distinguishing Personal and Factual with Adaptive MemoryPeilin LI, Qiuyun Zhang, Yukun Lian, Chengxuan Li, Bin Guo, Mengqi Chen, Han Wang, Yuyang Fang, Geyang Song, Yuan Gao
RBC: Retroactive Belief State Compensation for Multi-Agent Collaboration Under Information DelayDongkun Huo, Hongbo Liu, Shu Yin, Yixue Hao, Long Hu, Rui Wang, Min Chen
Situational-Constrained Multi-Agent Coordination through Correlated EquilibriaLibo Zhang, Zhirui Zeng, Yang Chen, Jiamou Liu
A Conceptual Framework for Shared AutonomyShashank Shekhar, JEANPIERRE Laurent, Abdel-illah Mouaddib
DebugTA: An LLM-Based Agent for Simplifying Debugging and Teaching in Programming EducationLingyue Fu, Datong Chen, Haowei Yuan, Xinyi Dai, Qingyao Li, Weinan Zhang, Weiwen Liu, Yong Yu
A Multi Agent System for Automated Alert Analysis, Prioritization, and Resolution in Financial Data Support and Referential WorkflowsArijit Samal
Computing Pure-Strategy Nash Equilibria in a Two-Party Policy Competition: Existence and Algorithmic ApproachesChuang-Chieh Lin, Chi-Jen Lu, Po-An Chen, Chih-Chieh Hung
Bounding Acceptability Degrees and Eliciting Initial Weights in Gradual ArgumentationNir Oren, Bruno Yun
Minimizing Envy and Maximizing Happiness in Graphical House AllocationAnubhav Dhar, Ashlesha Hota, Palash Dey, Sudeshna Kolay
TEME: A Multi-Agent Evaluation Framework for Spanish Medical Speech RecognitionLeire Villarroya Martínez, Stella Heras, Javier Palanca, Vicent Botti, EDWIN TADEO GOMEZ GOMEZ, Enrique Alcázar Garzás
Cognitive Heterogeneity and Behavioral Biases in Multi-Stage Supply Chains: Evidence from LLM-Based Agent SimulationsJiuyun Jiang, Yuecheng Hong, Bo Yang, Jin Yang, Guangxin Jiang, Xiaomeng Guo, Guang Xiao
A Causality-Inspired Spatial-Temporal Return Decomposition Approach for Multi-Agent Reinforcement LearningYudi Zhang, Yali Du, Biwei Huang, Meng Fang, Mykola Pechenizkiy
Satisfaction Paths in Markov GamesYanqing Fu, Chao Huang, Chenrun Wang, Zhuping Wang
Incentivizing Black-Box Model Sharing with Fair Rewards and PayoffsWenyang Hu, Xinyi Xu, See-Kiong Ng, Bryan Kian Hsiang Low
Fair Revenue Compensation in Data MarketsNathan Joe Joseph, Jiaxin Song, Bhaskar Ray Chaudhury
Inequality in Congestion Games with Learning AgentsDimitris Michailidis, Sennay Ghebreab, Fernando P. Santos
Robust Multiagent Collaboration Through Weighted Max–Min T-Joinssharareh alipour
Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language ModelsDaniel Hennes, Zun Li, John Schultz, Marc Lanctot
Sample-Efficient Neurosymbolic Deep Reinforcement LearningCeleste Veronese, Alessandro Farinelli, Daniele Meli
An ML-BDI Reasoner to Support Crime Investigation in Digital ForensicsGuilherme Dall'Agnol Deconto, Leonardo dos Santos Teixeira, Roben Castagna Lunardi, Rafael C. Cardoso, Felipe Meneguzzi, Avelino Francisco Zorzo
SCMRAG 2.0: Efficient and Scalable Multi-hop Graph RAG with Multimodal Knowledge-Graphs and Agentic Self-CorrectionRishabh Agrawal, Uday Devulapalli, Apurva Narayan
DEMamba: Decoupled Enhanced State Space Models with Selective Mechanisms for Multivariate Time Series ForecastingJunluo Zheng, Yang Liu, Jianyong Chen
Role-Based Orchestration of sLLM Agents for Korean Instruction-Following: A Comparison with SOTAGukhwanBae, YounghoLee
Reward-Free Action Poisoning in Offline RL via Conditional Shapley Value EstimationShenghong He, Chao Yu, Kaiqiang Ke, Yinqi Wei
Proportionality from Low-Dimensional Approval DataZhiyi Huang, Gregory Kehne, Chutong Yang
Dynamic Incentivized Cooperation under Changing RewardsPhilipp Altmann, Thomy Phan, Maximilian Zorn, Claudia Linnhoff-Popien, Sven Koenig
Behavior Tree Generation with LLM-MCTS-BT as a Pre-Planner Bridging Priors and UncertaintyHaoming Wang, xueying wang, Xiaoge Deng, Bin Li, Jingtao Qi, Jinjing Sun, Fu Li
Cost-Aware Best Arm Identification via Dueling Feedback with Applications to Large Language ModelsSarvesh Gharat, Nikhil Karamchandani, Jayakrishnan Nair
Multi-Agent Combinatorial-Multi-Armed-Bandit framework for the Submodular Welfare Problem under Bandit FeedbackSubham Pokhriyal, Shweta Jain, Vaneet Aggarwal
Efficient Device-Cloud Collaborative Offline-to-Online Reinforcement LearningHonglan Huang, Wei Shi, Chaoyue Niu
On multiagent online problems with predictionsGabriel Istrate, Cosmin Bonchis, Victor Bogdan
LLM-SMAC: Solving Multi-Agent Decision-Making Tasks via LLM Decision Tree Code GenerationYue Deng, Weiyu Ma, Yuxin Fan, Ruyi Song, Yin Zhang, Haifeng Zhang, Jian Zhao
Deep Meta Coordination Graphs for Multi-Agent Reinforcement LearningNikunj Gupta, James Zachary Hare, Jesse Milzman, Rajgopal Kannan, Viktor Prasanna
Does Calibration Affect Human Actions?Meir Nizri, Amos Azaria, Chirag Gupta, Noam Hazon
Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCMOskar Bohn Lassen, Serio Agriesti, Filipe Rodrigues, Francisco C. Pereira
Bayesian Network Structure Learning through Large Language ModelsJiebin Cai, Yinghui Pan, Yifeng Zeng, Han Liu
Memory Retention Is Not Enough to Master Memory Tasks in Reinforcement LearningOleg Shchendrigin, Egor Cherepanov, Alexey Kovalev, Aleksandr Panov
AI Alignment Via Power Mean ElicitationChloé Becquey, Cyrus Cousins, Yuhui Wei, Chang Zeng, Yair Zick
Autonomous vehicles need social awareness to find optima in multi-agent reinforcement learning routing games.Anastasia Psarou, Łukasz Gorczyca, Dominik Gaweł, Rafal Kucharski
Causal Domain Adaptation: An Information Bottleneck ApproachMohammad Ali Javidian
TCRL: Temporal-Coupled Adversarial Training for Robust Constrained Reinforcement Learning in Worst-Case ScenariosWentao Xu, Zhongming Yao, Weihao Li, Zhenghang Song, Yumeng Song, TIANYI LI, Yushuai Li
Preventing Process Reward Model Hacking When Training Large Language Models on Verifiable RewardsGrant Collier Forbes, Leonardo Villalobos-Arias, Jianxun Wang, Arnav Jhala, David L. Roberts
Combinatorial Optimization of Antibody Libraries via Constrained Integer ProgrammingConor F. Hayes, Andre R Goncalves, Steven Magana-Zook, Jacob Pettit, Ahmet Can Solak, Daniel faissol, Mikel Landajuela
Enabling Option Learning in Sparse Rewards with Hindsight Experience ReplayGabriel Romio, Mateus Begnini Melchiades, Bruno Castro da Silva, Gabriel de Oliveira Ramos
Incremental Multiple OracleCarlos Martin, Tuomas Sandholm
Centralized and Distributed approaches for restoring the Weak Controllability of Multi-Agent Interdependent STNUsAjdin SUMIC, Thierry Vidal, Gauthier Picard, Frédéric Maris, Roberto Posenato, Carlo Combi
G-RAGent: Dynamic Reasoning on Hypergraphs for Retrieval-Augmented Language ModelsYaoyang Hou, Chen Zheng
Geometric State Fusion for Autonomous Agents: A Comparative Analysis of Dual Quaternion Observer and Kalman FiltersIlya Afanasyev
You can go first - Planning for social law synthesis in asymmetric multi-agent settingsSarath Sreedharan, Philip D. Hopkins, Felipe Meneguzzi
Repeated Deceptive Path Planning against Learnable ObserverShiyue Cao, Pei Xu, Likun Yang, Lei Cui, Shizhao Yu, Shiyu Zhang, Renyongjian, Xiaotang Chen, Kaiqi Huang
GreenLine: A delay-tolerant mechanism design for grid capacity allocationAthina Georgara, Jayati Deshmukh, Sarvapali D Ramchurn
The Web Tool Trap: Understanding and Mitigating Over-Reliance in LLM Browsing AgentsJiawei Guo, Hongjie Nie, Qianbo Zang, Shu Yang, Shuodi Liu, Yiwei Ru, Liuyu Xiang, Di Wang, Zhaofeng He
Large-Scale Continual Scheduling and Execution for Dynamic Distributed Satellite Constellation Observation AllocationItai Zilberstein, Steve Chien
Blending ontologies and language models to generate sound and natural robot explanationsAlberto Olivares-Alarcos, Muhammad Ahsan Fatwaddin Shodiq, Satrio Dwi Sanjaya, Hsien-I Lin, Guillem AlenyÃ
Temporal Multi-Broadcast OptimizationDaniele Carnevale, Gianlorenzo D'Angelo
RouterHGC: Optimized Router for LLM-based Multi-Agent Systems via Heterogeneous Graph Contrastive LearningYitao Xiao, Shaoyong Guo, guoming yang, Qingnan Wang, yinlin ren, Xuesong Qiu, Qi Feng
More Views, More Problems? A Critical Analysis of Multi-View Aggregation for Agent PerceptionFederico Tavella, Amber Drinkwater, Angelo Cangelosi
Capital Provision to Reduce Liquidity Defaults and the Role of Central BanksJinyun Tong, Bart De Keijzer, Carmine Ventre
Better Goals, Better Policies: LLM-Driven Relabeling for Offline Goal-Conditioned Reinforcement LearningXule Gao, Chuxiong Sun, Rui Wang, Changwen Zheng
Multiagent Matroid Upgrading: Greedy is Fair and EfficientQingwen Ma, Chao Peng, Changfeng Xu, Chenyang Xu, Ruilong Zhang
Accelerating Action-Robust Deep Deterministic Policy Gradient via Parallel OptimizationSeongIn Kim, Takeshi Shibuya
Algorithmic Contract Design with Reinforcement Learning AgentsDavid Molina Concha, Kyeonghyeon Park, Hyun-Rok Lee, Taesik Lee, Chi-Guhn Lee
Splitting Assumption-Based Argumentation FrameworksGiovanni Buraglio, Wolfgang Dvořák, Stefan Woltran
Approximating Electoral Control ProblemsHuy Vu Bui, Michael C. Chavrimootoo, Kien T. Le, Son M. Nguyen
CoMoU: Model-based Dynamics Estimation for Efficient Offline-to-online Reinforcement LearningDongxiang Chen, Ying Wen, Rui Chen, Kechen Li
Last-iterate Convergence of Heterogeneous Learning in Time-Varying Zero-Sum GamesJunyue Zhang, Xinxiang Guo, Yi Feng, Xiao Wang, Yifen Mu
Online EFX Allocations with PredictionsThemistoklis Melissourgos, Nicos Protopapas
Nested Training for Mutual Adaptation in Human–AI TeamingUpasana Biswas, Durgesh Kalwar, Subbarao Kambhampati, Sarath Sreedharan
Single-Deviation Stability in Additively Separable Hedonic Games with Constrained Coalition SizesMartin Bullinger, Adam Dunajski, Edith Elkind, Matan Gilboa
Robust Direct Preference Optimization for Offline LearningShihab Ahmed, Zhenyi Wang, Yue Wang
Toward recognizing Social Media Recommenders under Absent Recommendations: a Graph Neural Network-based ApproachSabrina Guidotti, Gregor Donabauer, Davide Taibi, Giuseppe Vizzari, Udo Kruschwitz, Dimitri Ognibene
Horizon Based Cross-View Geolocalization in Maritime EnvironmentAlexandre Foucher, Cedric Seguin, Dominique Heller, Johann Laurent
Extending Multi-source Bayesian Optimization With Causality PrinciplesLuuk Jacobs, Mohammad Ali Javidian
Privacy Preserving Multi Agent Path FindingRotem Lev Lehman, Roni Stern, Guy Shani
Real Preferences under Arbitrary NormsJoshua Zeitlin, Corinna Coupette
On the Trade-Off Between Transparency and Security in Adversarial Machine LearningLucas Fenaux, Christopher Srinivasa, Florian Kerschbaum
PADME: Procedure Aware DynaMic ExecutionDeepeka Garg, Sihan Zeng, Annapoorani Lakshmi Narayanan, Sumitra Ganesh, Leo Ardon
Differentially Private Non-convex Learning: From Generalized Linear Models to Multi-layer Neural NetworksHanpu Shen, Cheng-Long Wang, Zihang Xiang, Yiming Ying, Di Wang
A Unified Framework for Zero-Shot Reinforcement LearningJacopo Di Ventura, Jan Felix Kleuker, Aske Plaat, Thomas M. Moerland
Mechanism-Informed Learning for Fair DivisionRyota Maruo, Tomohiko Yokoyama, Ayumi Igarashi, Koh Takeuchi
Timing Optimization in Dynamic Discrete Action Space Lifelong Reinforcement LearningPangjing Wu, Xiaodong Li
AFRC: Adaptive Responsible Compression for Federated Learning under Data HeterogeneityAdarsh Valoor, Sarvapali D Ramchurn
Algorithms for Candidate Control in Sequential Participatory Budgeting RulesÅ imon Schierreich, Krzysztof Sornat
Mitigating Problematic Social Media Use through Paired Recommender Systems with Contrasting ObjectivesStefano Livella, Luca Bolis, Sabrina Patania, Matteo Papini, Dimitri Ognibene
Neurosymbolic Active Goal Recognition in Partially Observable EnvironmentsChenyuan Zhang, Sukai Huang, Hamid Rezatofighi, Mor Vered, Buser Say
Heuristic Transformer: Belief Augmented In-Context Reinforcement LearningOliver Dippel, Bei Peng, Alexei Lisitsa
Learning Semantic and Structure Aware Representation with Large Language Models for Concept RecommendationQingyao Li, Wei Xia, Kounianhua Du, Qiji Zhang, Weinan Zhang, Ruiming Tang, Yong Yu
Detecting Approximate Clones under Approval VotingThéo Delemazure, Piotr Faliszewski, Łukasz Janeczko, Dušan Knop, Kristýna Pekárková, Jan Pokorný, Šimon Schierreich, Ildikó Schlotter
xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory EditingHaoyi Niu, Qimao Chen, Tenglong Liu, Jianxiong Li, Guyue Zhou, Yi ZHANG, Jianming HU, Xianyuan Zhan
Explainable Representation of Finite-Memory Policies for POMDPs using Decision TreesMuqsit Azeem, Debraj Chakraborty, Sudeep Kanav, Jan Kretinsky
Towards Probabilistic Strategic Timed CTLWojciech Jamroga, Marta Kwiatkowska, Wojciech Penczek, Laure Petrucci, Teofil Sidoruk
DomAgent: Leveraging Knowledge Graphs and Case-Based Reasoning for Domain-Specific Code GenerationShuai Wang, Dhasarathy Parthasarathy, Robert Feldt, Yinan Yu
Procedural Fairness in Multi-Agent BanditsJoshua Caiata, Carter Blair, Kate Larson
Plan-and-Execute: LLM-Guided Reinforcement Learning with Cross-Modal Fusion for Long-Sequence Decision MakingYadong Li, Tong Zhang, Zhen Cui
Multimodal Emotion Recognition in Conversation via Large Language Models and Global–Local Cross-Domain GraphsHaobo Ma, Chen Huang, Yan Zhang, Chao Yang, Jianhua Song
The Monetization Agent: A Deployed POMDP for Maximizing Lifetime In-App Advertising RevenueJiacheng Chang, Xiao Lei, Zhixi Wan, Lei Huang, Qi He
Selfish routing games with priority lanesYang Li, Alexander Skopalik, Marc Uetz
PSN Game: Game-theoretic Prediction and Planning via a Player Selection NetworkTianyu Qiu, Eric Ouano, Fernando Palafox, Christian Ellis, David Fridovich-Keil
Let Leaders Play Games: Improving Timing in Leader-based ConsensusRasheed Ahmed, Parth Desai, Sujit Gujar
ProSh: Probabilistic Shielding for Model-free Reinforcement LearningEdwin Hamel-de le Court, Gaspard Ohlmann, Francesco Belardinelli
Selective Amnesia: Observation Unlearning in Reinforcement LearningYue Yang, Jinhao Li, Hao Wang
Formalizing Mental Privacy in LogiKEyLuca Pasetto, Christoph Benzmüller, Réka Markovich
Bridging the Gap Between Estimated and True Regret in Deep Learning–Based Auction Mechanismsshuyuan you, Zhiqiang Zhuang, Haiying Wu, Kewen Wang, Zhe Wang
Reinforcement Learning for Falsification of Dynamic Driving ScenariosOliver Chang, Kay Vargas, Leilani H. Gilpin, Daniel J. Fremont
Network-based Active Learning for Identifying Illicit Actors in Financial Transaction NetworksAmro 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
Equilibria in Quantitative Bipolar Argumentation DialoguesAndreas Brännström, Timotheus Kampik
Allocation Proportionality of OWA Voting RulesDaria Boratyn, Dariusz Stolicki
Stronger Approximation Guarantees for Non-Monotone $\gamma$-Weakly DR-Submodular MaximizationHareshkumar Jadav, Ranveer Singh, Vaneet Aggarwal
From Knowledge to Causality: Self-Supervised Representation Learning for Granger Causal Discovery in Groups of Time SeriesBo Liu, Hongyan Li, Shenda Hong
Encoding Goals as Graphs: Structured Objectives for Scalable Cooperative Multi-Agent Reinforcement LearningAlessandro Amato, Raffaele Galliera, K. Brent Venable, Niranjan Suri
Dynamic Network Link Prediction Based on Characterization of Temporal AttributesXiaojing Liu, Winston K.G. Seah, GangXu
Suggestion-Based Assistance of Suboptimal Users in Sequential Decision-Making TasksNiklas Dieckow, Pierre-Alexandre Murena
Self-Evolving Software AgentsMarco Robol, Paolo Giorgini
Fair Allocation with Initial UtilitiesNiclas Boehmer, Luca Kreisel
TAXI2: Joint Pairing and Vehicle Assignment for Two-Passenger Shared TaxisAfzaal Hassan, Irene Moser, Mark Wallace, Daniel Harabor
Collaborate, Deliberate, Evaluate: How LLM Alignment Affects Coordinated Multi-Agent OutcomesAbhijnan Nath, Carine Graff, Nikhil Krishnaswamy
GCMRBench: Goal-Conditioned Multi-Robot Environments and Benchmarks for Advancing Offline Multi-Agent Reinforcement LearningChenxing Li, Chin-Jui Chang, Yinlong Liu, Zijian Ma, Jan R. Seyler, Shahram Eivazi
Engineering norm-aware BDI agentsMichael Winikoff, Frank Dignum, Sebastian Rodriguez, John Thangarajah
Towards Strengthening Decentralised ExchangeRixt Hellinga, George Iosifidis, Neil Yorke-Smith
When LLM Agent Teams Fail at Topological Spatial Reasoning Under Partial ObservabilityHeitor Gama, Jean-Philippe DIGUET, Damith Ranasinghe
Independence of Approximate Clones with Ordinal PreferencesThéo Delemazure
Time-Varyingness in Auction Breaks Revenue EquivalenceYuma Fujimoto, Kaito Ariu, Kenshi Abe
Grounding vs. Compositionality: On the Non-Complementarity of Reasoning in Neuro-Symbolic SystemsMahnoor Shahid, Hannes Rothe
Strategic Interactions in Multi-Level Stackelberg Games with Non-Follower Agents and Heterogeneous LeadersNiloofar Aminikalibar, Farzaneh Farhadi, Maria Chli
Disjunctive Temporal Refinement Planning with Variable Action Duration and Execution Makespan BoundsMica Gardone, Rogelio E. Cardona-Rivera
Equity by Design in Task Allocation: Reverse Auctions with Group and Individual FairnessYunxiao Zhao, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov
SPADE: Sketch-guided Path Planning Augmented with Diffusion ExpertsCharbel Abi Hana, Tatiana Ghantous, Mikael Khalil, Anthony Rizk
Safe Multi-Agent Reinforcement Learning Through Neural Graph Control Barrier FunctionsZiye Deng, QIANG LI, Mingyue Zhang, WU CHEN
Enhanced Deep Q-Learning with Gaussian MixturesChainesh Gautam, Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi
Active Inference through Incentive Design in Partially Observable Markov Decision ProcessesXinyi Wei, Chongyang Shi, Shuo Han, Ahmed Hemida, Charles A kamhoua, Jie Fu
LLM-based Agents in Supply Chain Games: The Role of Incomplete Information and Model HeterogeneityJiuyun Jiang, Yuecheng Hong, Jiangnan Shi, Song Huang, Jin Yang, Guangxin Jiang, Xiaomeng Guo, Guang Xiao
RAC: Request-adaptive Configuration for Efficient Speculative DecodingJinhao Sheng, Xiao Huang, Hongxin Wei, Feng Zhou
Asynchronous Multi-Agent Reinforcement Learning for 5G Routing under Side ConstraintsSebastian Racedo, Brigitte Jaumard, Oscar Delgado, Meysam Masoudi
Do LLMs Strategically Reveal, Conceal, and Infer Information? A Theoretical and Empirical Analysis in The Chameleon GameMustafa O. Karabag, Jan Sobotka, ufuk topcu
From Competition to Collaboration: Designing Sustainable Mechanisms Between LLMs and Online ForumsNiv Fono, Yftah Ziser, Omer Ben-Porat
InteractFormer: Inter-Agent Spatiotemporal Attention for Multi-Agent Action AnticipationYiqi Jin, Simon Stepputtis, Carl Busart, Katia P. Sycara, Yaqi Xie
Stackelberg Equilibria of Blotto GamesMasoud Seddighin, Saeed Seddighin
BEDA: Belief Estimation as Probabilistic Constraints for Performing Strategic Dialogue ActsHengli Li, Zhaoxin Yu, Qi Shen, Chenxi Li, Mengmeng Wang, Tinglang Wu, Yipeng Kang, Yuxuan Wang, Song-Chun Zhu, Zixia Jia, Zilong Zheng
Fair Committee Selection under Ordinal Preferences and Limited Cardinal InformationAmeet Gadekar, Aristides Gionis, Suhas Thejaswi, Sijing Tu
Game-Theoretic and Algorithmic Analyses of Multi-Agent Routing under Crossing CostsTesshu Hanaka, Nikolaos Melissinos, Hirotaka Ono
Proportionality Variations in Repeated Fair Division of Indivisible GoodsKarl Jochen Micheel, Anaëlle Wilczynski
Offline Safe Policy Optimization From Heterogeneous FeedbackZe Gong, Pradeep Varakantham, Akshat Kumar
Discovery and Enactment of Declarative Interaction Protocols in Dynamically Open SettingsAndrei Ciortea, Kai Schultz, Amit K. Chopra, Ganesh Ramanathan
Stochastically Dominant Preference Optimization: Policy Improvement For AllAli Farajzadeh, Syed M. Abbas, Aadirupa Saha, Brian D Ziebart
Low Complexity Online Contextual Learning with Continuous ActionsMohsen Najjar, Tavor Baharav, Ilai Bistritz
Evaluating XAI Support From A Hierarchical Reinforcement Learning Policy in Human-Agent CollaborationMateus Levi Simões Fernandes, Alberto Sardinha
Strategic Behavior, Fairness, and Social Optimality in Multi-Winner Elections under UncertaintyJanik Bürgermeister, Chris Dong, Michael T. Lewicki
Coalition Tactics: Bribery and Control in Parliamentary ElectionsHodaya Barr, Eden Hartman, Yonatan Aumann, Sarit Kraus
Pareto-Guided Exploration for Multi-Objective Multiagent LearningGaurav Dixit, Kagan Tumer
Near-Feasible Stable Matchings: Incentives and OptimalityFrederik Glitzner
On Quantitative Analysis of Responsibility in Multi-Agent SystemsChunyan Mu, Nir Oren
Efficient Teammate Adaptation with Language-assisted Progressive Intention AlignmentZhichao Wu, Ruiqi Xue, Yi-Chen Li, Cong Guan, Jing-Wen Yang, Lei Yuan, Yang Yu
Low Message-Cost Gossip for Welfare-Optimal Decentralized Decision MakingVedic Sharma, Peter Marbach
Revisiting the Evolution of Cooperation in Complex SocietiesJonathan Berry Skaggs, Jacob Crandall
On the Semantics of Primary Cause in Hybrid Dynamic DomainsShakil M Khan, Asim Mehmood, Sandra Zilles
LLMAide: Language-Assisted Neural Solver for Vehicle Routing ProblemsManuj Malik, Jianan Zhou, Yan Jin, Zhiguang Cao
IntentGuard: Securing MCP-Enabled LLM Agents via Post-Decision Semantic Plan VerificationHaoran Cheng, Yunhao Yao, Jinke Song, Zhiqiang Wang, Lan Zhang
Neural MFGs: Extending Mean-Field Game Theory with Neural Stochastic Differential EquationsChiara Thöni, Yoram Bachrach, Tal Kachman
Too many specialists: Emergent Inefficiencies and bottlenecks for multi-agent ad-hoc collaborationBenjamin Panny, Shashank Mehrotra, Zahra Zahedi, Teruhisa Misu, Kumar Akash
ANN-CMCGS: Generalizing Continuous Monte-Carlo Graph Search with Approximate Nearest NeighborsChristoph Scherer, Wolfgang Hönig
Information Fidelity in Tool-Using LLM Agents: A Martingale Analysis of the Model Context ProtocolFlint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer, Yew-Soon Ong
LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow AutomationDongge Han, Camille Couturier, Daniel Madrigal, Xuchao Zhang, Victor Rühle, Saravan Rajmohan
CtrlRAG: Black-box Document Poisoning Attacks for Retrieval-Augmented Generation of Large Language ModelsRunqi Sui, Xuejing Yuan, Di Tang, Baojiang cui
Symbolic Guidance for LLM Agents in Distributed Multiagent CoordinationBen Rachmut, Ning Zhang, Yevgeniy Vorobeychik, William Yeoh
Reliable Data Science Analysis with Large Language Models via Multi-Agent Tools OrchestrationMingyin Zou, Guangrong You, Xiaomin Zhu, Yanqing Ye, Ji Wang
DFORD: Directional Feedback based Online Ordinal Regression LearningNaresh Manwani, M Elamparithy, Tanish Taneja
Scenario Generation for Risk-Aware Reinforcement LearningMohit Prashant, Arvind Easwaran
Multi-Attribute Committee Selection: Diversity, Correlation, and Approximation GuaranteesDoron Heller, Reshef Meir
AI-Agent Systems for Supply Chains: Structured Decision Prompts and Memory RetrievalKonosuke Yoshizato, Kazuma Shimizu, Ryota Higa, Takanobu Otsuka
Mitigating Constraint Conflict in Offline RL: An Adaptive Weighted Constraint ApproachPengyu Chen, Shirong Liu, Minye Huang, Haozhuo Zheng, Haoyu Liu, Wenyu Yuan, Yang Liu
Safe Offline Reinforcement Learning using Diffusion PoliciesAnkita Kushwaha, Kiran Ravish, Preeti, Pawan Kumar, Anuj Mahajan
Decentralized Asynchronous Multi-player BanditsJingqi Fan, Canzhe Zhao, Shuai Li, Siwei Wang
Finding the Weakest Link: Adversarial Attack against Multi-Agent CommunicationsMaxwell Standen, Junae Kim, Claudia Szabo
G2CP: A Graph-Grounded Communication Protocol for Verifiable and Efficient Multi-Agent ReasoningKarim Ben Khaled, Davy Monticolo
Safe But Not Sorry: Reducing Over-Conservatism in Safety Critics via Uncertainty-Aware ModulationDaniel Bethell, Simos Gerasimou, Radu Calinescu, Calum Imrie
Nanobot Algorithms for Treatment of Diffuse CancerNoble Harasha, Nancy A. Lynch
Bridging Expertise and Data: Multi-Label Disease Detection via Causal Learning and Decision FusionXin Zhang, MinHui Zhang, Jiaqi Liu, Zhiwen Yu, Bin Guo
Leveraging Context-Oriented Programming to Implement Normative Rules in Autonomous SystemsRoberto Casadei, Martina De Sanctis, Gianluca Filippone, Sara Pettinari, Gian Luca Scoccia, Nicolas Troquard
IG-MCTS: Human-in-the-Loop Cooperative Navigation under Incomplete InformationShenghui Chen, Ruihan Zhao, Sandeep P. Chinchali, ufuk topcu
Fair Contracts in Principal-Agent Games with Heterogeneous TypesJakub Tłuczek, Victor Villin, Christos Dimitrakakis
CQGen-MAS: A Multi-Agent System for Competency Questions Generation from OntologyFei Du, An huilong, Feng Li, Chen Li, Weidong Liu