{"id":246326,"date":"2026-04-24T10:22:22","date_gmt":"2026-04-24T10:22:22","guid":{"rendered":"https:\/\/cyprusconferences.org\/aamas2026\/?page_id=246326"},"modified":"2026-04-27T10:42:03","modified_gmt":"2026-04-27T10:42:03","slug":"detailed-program","status":"publish","type":"page","link":"https:\/\/cyprusconferences.org\/aamas2026\/detailed-program\/","title":{"rendered":"Detailed Program"},"content":{"rendered":"

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global_colors_info=”{}” sticky_enabled=”0″]AAMAS 2026 Web Program<\/title><\/p>\n<style><!-- [et_pb_line_break_holder] -->:root{--program-bg:#f7f8fb;--program-card:#fff;--program-text:#1f2937;--program-muted:#667085;--program-border:#e5e7eb;--program-accent:#243b6b;--program-soft:#eef3ff;--program-shadow:0 10px 28px rgba(16,24,40,.07)}<!-- [et_pb_line_break_holder] -->.aamas-program{font-family:inherit;color:var(--program-text);max-width:1180px;margin:0 auto;padding:24px 0}.aamas-hero{background:linear-gradient(135deg,#243b6b,#5a7bb7);color:#fff;border-radius:24px;padding:28px;margin-bottom:22px;box-shadow:var(--program-shadow)}.aamas-hero h1{font-size:clamp(30px,4vw,48px);line-height:1.05;margin:0 0 10px}.aamas-hero p{font-size:17px;margin:0;opacity:.94;max-width:850px}.program-tools{position:sticky;top:0;z-index:20;background:rgba(255,255,255,.96);backdrop-filter:blur(8px);padding:14px 0 16px;border-bottom:1px solid 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-->.workshop-link{display:inline-block;margin-top:10px;background:var(--program-accent);color:#fff!important;text-decoration:none;border-radius:999px;padding:7px 12px;font-size:13px;font-weight:800}.workshop-link:hover{opacity:.9}.workshop-placeholder{margin-top:8px;font-size:13px;color:var(--program-muted)}<\/style>\n<p><\/head><body><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"aamas-program\"><!-- [et_pb_line_break_holder] --> <\/p>\n<section class=\"aamas-hero\">\n<h1 style=\"color: white;\">AAMAS 2026 Program<\/h1>\n<pee>Scientific Program: Sessions, Workshops, and Presentations<\/pee><\/section>\n<p><!-- [et_pb_line_break_holder] --> <\/p>\n<div class=\"program-tools\">\n<div class=\"program-search-row\"><input id=\"programSearch\" type=\"search\" placeholder=\"Search session, paper title, author, track\u2026\" aria-label=\"Search program\"><button id=\"expandAll\" type=\"button\">Expand all visible<\/button><\/div>\n<nav class=\"day-tabs\" id=\"dayTabs\" aria-label=\"Program days\"><\/nav>\n<div class=\"track-filters\" id=\"trackFilters\" aria-label=\"Track filters\"><\/div>\n<\/div>\n<p><!-- [et_pb_line_break_holder] --> <\/p>\n<div id=\"noResults\" class=\"no-results\">No matching sessions or papers found. Try clearing the search or selecting \u201cAll tracks\u201d.<\/div>\n<p><!-- [et_pb_line_break_holder] --> <main id=\"programDays\"><\/main><!-- [et_pb_line_break_holder] --><\/div>\n<p><script><!-- [et_pb_line_break_holder] -->const PROGRAM_DATA = [{\"day\":\"Monday, 25 May\",\"slots\":[{\"slot\":\"Workshops\",\"sessions\":[{\"key\":\"ALA Workshop\",\"display\":\"ALA \u2013 Adaptive and Learning Agents\",\"code\":\"ALA\",\"track\":\"Workshop\",\"description\":\"Two-day workshop \u00b7 May 25\u201326, 2026\",\"link\":\"https:\/\/alaworkshop2026.github.io\/#program\",\"papers\":[]},{\"key\":\"ARMS Workshop\",\"display\":\"ARMS \u2013 Autonomous Robots and Multirobot Systems\",\"code\":\"ARMS\",\"track\":\"Workshop\",\"description\":\"One-day workshop \u00b7 May 25, 2026\",\"link\":\"https:\/\/arms2026.di.unimi.it\/#program\",\"papers\":[]},{\"key\":\"ASI Workshop\",\"display\":\"ASI \u2013 Agents for Societal Impact\",\"code\":\"ASI\",\"track\":\"Workshop\",\"description\":\"One-day workshop \u00b7 May 25, 2026\",\"link\":\"https:\/\/panosd.eu\/asi2026\/#programme\",\"papers\":[]},{\"key\":\"COINE Workshop\",\"display\":\"COINE \u2013 Coordination, Organizations, Institutions, Norms and Ethics\",\"code\":\"COINE\",\"track\":\"Workshop\",\"description\":\"One-day workshop \u00b7 May 25, 2026\",\"link\":\"https:\/\/coin-workshop.github.io\/coine-2026-paphos\/technical_programme.html\",\"papers\":[]},{\"key\":\"EMAS Workshop\",\"display\":\"EMAS \u2013 Engineering Multi-Agent Systems\",\"code\":\"EMAS\",\"track\":\"Workshop\",\"description\":\"Two-day workshop \u00b7 May 25\u201326, 2026\",\"link\":\"https:\/\/emas-workshop.github.io\/2026\/\",\"papers\":[]},{\"key\":\"EXTRAAMAS Workshop\",\"display\":\"EXTRAAMAS \u2013 Explainable, Trustworthy & Responsible AI and MAS\",\"code\":\"EXTRAAMAS\",\"track\":\"Workshop\",\"description\":\"One-day workshop \u00b7 May 25, 2026\",\"link\":\"https:\/\/extraamas.ehealth.hevs.ch\/program.html\",\"papers\":[]},{\"key\":\"NEXUS Workshop\",\"display\":\"NEXUS \u2013 Neurosymbolic Explainable Trustworthy Systems\",\"code\":\"NEXUS\",\"track\":\"Workshop\",\"description\":\"One-day workshop \u00b7 May 25, 2026\",\"link\":\"https:\/\/nexus.telecom-paris.fr\/#schedule\",\"papers\":[]},{\"key\":\"OptLearnMAS Workshop\",\"display\":\"OptLearnMAS \u2013 Optimization and Learning in Multi-Agent Systems\",\"code\":\"OptLearnMAS\",\"track\":\"Workshop\",\"description\":\"One-day workshop \u00b7 May 25, 2026\",\"link\":\"https:\/\/optlearnmas.github.io\/#program\",\"papers\":[]},{\"key\":\"SE Workshop\",\"display\":\"SE \u2013 Strategic Engineering Workshop\",\"code\":\"SE\",\"track\":\"Workshop\",\"description\":\"One-day workshop \u00b7 May 25, 2026\",\"link\":\"https:\/\/sites.google.com\/view\/se-aamas2026\",\"papers\":[]}]}]},{\"day\":\"Tuesday, 26 May\",\"slots\":[{\"slot\":\"Workshops\",\"sessions\":[{\"key\":\"AI4CNI Workshop\",\"display\":\"AI4CNI \u2013 AI for Critical National 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Multi-Agent-Based Simulation\",\"code\":\"MABS\",\"track\":\"Workshop\",\"description\":\"One-day workshop \u00b7 May 26, 2026\",\"link\":\"https:\/\/mabsworkshop.github.io\/\",\"papers\":[]},{\"key\":\"MASSpace Workshop\",\"display\":\"MASSpace \u2013 Autonomous Agents and MAS for Space Applications\",\"code\":\"MASSpace\",\"track\":\"Workshop\",\"description\":\"One-day workshop \u00b7 May 26, 2026\",\"link\":\"https:\/\/mas-space.github.io\/aamas2026ws\/#programme\",\"papers\":[]},{\"key\":\"RaD-AI Workshop\",\"display\":\"RaD-AI \u2013 Rebellion and Disobedience in AI\",\"code\":\"RaD-AI\",\"track\":\"Workshop\",\"description\":\"One-day workshop \u00b7 May 26, 2026\",\"link\":\"https:\/\/sites.google.com\/view\/rad-ai\/rad-ai\/cfp\",\"papers\":[]}]}]},{\"day\": \"Wednesday, 27 May\", \"slots\": [{\"slot\": \"Morning \u00b7 10:45\u201312:30\", \"sessions\": [{\"key\": \"Blue Sky: 1\", \"display\": \"Blue Sky: 1\", \"code\": \"Blue Sky 1\", \"track\": \"Blue Sky\", \"papers\": 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Artificial Collective Intelligence\", \"authors\": \"Roberto Casadei\", \"session\": \"Blue Sky: 1\", \"track\": \"Blue Sky\"}]}, {\"key\": \"GTEP 5 - Social Choice\", \"display\": \"GTEP 5 \u2013 Social Choice\", \"code\": \"GTEP 5\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\", \"papers\": [{\"paper_id\": \"201\", \"title\": \"Online Fair Division With Subsidy: When Do Envy-Free Allocations Exist, and at What Cost?\", \"authors\": \"Pooja Ravi Kulkarni, Ruta Mehta, Vishnu V. Narayan, Tomasz Ponitka\", \"session\": \"GTEP 5 - Social Choice\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"492\", \"title\": \"Control in Hedonic Games\", \"authors\": \"Jiehua Chen, Jakob Guttmann, Merisa Mustajba\u0161i\u0107, Sofia Simola\", \"session\": \"GTEP 5 - Social Choice\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"898\", \"title\": \"Generating Fair Consensus Statements with Social Choice on Token-Level MDPs\", \"authors\": \"Carter Blair, Kate Larson\", \"session\": \"GTEP 5 - Social Choice\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"476\", \"title\": \"Majoritarian Assignment Rules\", \"authors\": \"Felix Brandt, Haoyuan Chen, Chris Dong, Patrick Lederer, Alexander Schlenga\", \"session\": \"GTEP 5 - Social Choice\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"390\", \"title\": \"Relationships and Connections between Definitions of Metric Proportional Representation\", \"authors\": \"Yusuf Hakan Kalayci, David Kempe\", \"session\": \"GTEP 5 - Social Choice\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"401\", \"title\": \"Temporal Panel Selection in Ongoing Citizens\u2019 Assemblies\", \"authors\": \"Yusuf Hakan Kalayci, Evi Micha\", \"session\": \"GTEP 5 - Social Choice\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"277\", \"title\": \"The Impossibility of Strategyproof Rank Aggregation\", \"authors\": \"Manuel Eberl, Patrick Lederer\", \"session\": \"GTEP 5 - Social Choice\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}]}, {\"key\": \"GTEP 9 - Participatory Budgeting and Elections\", \"display\": \"GTEP 9 \u2013 Participatory Budgeting and Elections\", \"code\": \"GTEP 9\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\", \"papers\": [{\"paper_id\": \"921\", \"title\": \"Feature-based Uncertainty Model for School Choice\", \"authors\": \"Yao Zhang, Makoto Yokoo\", \"session\": \"GTEP 9 - Participatory Budgeting and Elections\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"1240\", \"title\": \"Clone-Robust Weights in Metric Spaces: Handling Redundancy Bias in Benchmark Aggregation\", \"authors\": \"Damien Berriaud, Roger Wattenhofer\", \"session\": \"GTEP 9 - Participatory Budgeting and Elections\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"95\", \"title\": \"Large Language Models for Designing Participatory Budgeting Rules\", \"authors\": \"Nguyen T Thach, Xingchen Sha, Hau Chan\", \"session\": \"GTEP 9 - Participatory Budgeting and Elections\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"1061\", \"title\": \"Maximizing Index Diversity in Committee Elections\", \"authors\": \"Paula B\u00f6hm, Robert Bredereck, Till Fluschnik\", \"session\": \"GTEP 9 - Participatory Budgeting and Elections\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"473\", \"title\": \"Necessary President in Elections with Parties\", \"authors\": \"Katar\u00edna Cechl\u00e1rov\u00e1, Ildik\u00f3 Schlotter\", \"session\": \"GTEP 9 - Participatory Budgeting and Elections\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"1147\", \"title\": \"Outer Diversity of Structured Domains\", \"authors\": \"Piotr Faliszewski, Krzysztof Sornat, Stanis\u0142aw Szufa, Tomasz W\u0105s\", \"session\": \"GTEP 9 - Participatory Budgeting and Elections\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"649\", \"title\": \"Project Submission Games in Participatory Budgeting\", \"authors\": \"Piotr Faliszewski, \u0141ukasz Janeczko, Andrzej Kaczmarczyk, Grzegorz Lisowski, Grzegorz Pierczy\u0144ski\", \"session\": \"GTEP 9 - Participatory Budgeting and Elections\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}]}, {\"key\": \"HAI 1 - Human-Agent Interaction\", \"display\": \"HAI 1 \u2013 Human-Agent Interaction\", \"code\": \"HAI 1\", \"track\": \"Human-Agent Interaction (HAI)\", \"papers\": [{\"paper_id\": \"1023\", \"title\": \"Developing Guidelines for Human-LLM Agent Teams: A Multi-Stakeholder Lens\", \"authors\": \"Mireia Yurrita, Davide DellAnna, Pradeep K. 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Singh\", \"session\": \"EMAS 1 - BDI and Agent Programming\", \"track\": \"Engineering and Analysis of Multiagent Systems (EMAS)\"}, {\"paper_id\": \"503\", \"title\": \"VEsNA-Pro: Exploiting BDI Agents with Propensities for Emergent Narrative\", \"authors\": \"Andrea Gatti, Fabio Casale, Viviana Mascardi, Andrea Stucchi, Angelo Ferrando\", \"session\": \"EMAS 1 - BDI and Agent Programming\", \"track\": \"Engineering and Analysis of Multiagent Systems (EMAS)\"}, {\"paper_id\": \"\", \"title\": \"A multi-level explainability framework for engineering and understanding BDI Agents\", \"authors\": \"Elena Yan, Samuele Burattini, Jomi Fred H\u00fcbner, Alessandro Ricci\", \"session\": \"EMAS 1 - BDI and Agent Programming\", \"track\": \"Engineering and Analysis of Multiagent Systems (EMAS)\"}]}, {\"key\": \"GAAI 4 - Generative Agents: Training and Applications\", \"display\": \"GAAI 4 \u2013 Generative Agents: Training and Applications\", \"code\": \"GAAI 4\", \"track\": \"Generative and Agentic AI (GAAI)\", \"papers\": [{\"paper_id\": \"378\", \"title\": \"Active Evaluation of General Agents: Problem Definition and Comparison of Baseline Algorithms\", \"authors\": \"Marc Lanctot, Kate Larson, Ian Gemp, Michael Kaisers\", \"session\": \"GAAI 4 - Generative Agents: Training and Applications\", \"track\": \"Generative and Agentic AI (GAAI)\"}, {\"paper_id\": \"240\", \"title\": \"Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation\", \"authors\": \"Aja Khanal, Kaushik Tushar Ranade, Rishabh Agrawal, Kalyan Shankar Basu, Apurva Narayan\", \"session\": \"GAAI 4 - Generative Agents: Training and Applications\", \"track\": \"Generative and Agentic AI (GAAI)\"}, {\"paper_id\": \"374\", \"title\": \"CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning\", \"authors\": \"Jiaxun Cui, Chen Tang, Jarrett Holtz, Janice Nguyen, Alessandro G Allievi, Hang Qiu, Peter Stone\", \"session\": \"GAAI 4 - Generative Agents: Training and Applications\", \"track\": \"Generative and Agentic AI (GAAI)\"}, {\"paper_id\": \"1238\", \"title\": \"Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success\", \"authors\": \"George Bredis, Stanislav Dereka, Viacheslav Sinii, Ruslan Rakhimov, Daniil Gavrilov\", \"session\": \"GAAI 4 - Generative Agents: Training and Applications\", \"track\": \"Generative and Agentic AI (GAAI)\"}, {\"paper_id\": \"973\", \"title\": \"MAStitch: Unifying Local and Global Perspectives for Anomaly Detection in Multi-Agent Systems\", \"authors\": \"Lior Waknin, Yarin Yerushalmi Levi, Ron Solomon, Jaidip Kotak, Amit Giloni, Chiara Picardi, Roman Vainshtein, Yuval Elovici, Asaf Shabtai\", \"session\": \"GAAI 4 - Generative Agents: Training and Applications\", \"track\": \"Generative and Agentic AI (GAAI)\"}, {\"paper_id\": \"1673\", \"title\": \"Multigranular Alignment via Linguistic Decomposition and Reward Optimization for Text to Image Diffusion\", \"authors\": \"Hengrui Liu, Luming Jin, Meng-Fen Chiang\", \"session\": \"GAAI 4 - Generative Agents: Training and Applications\", \"track\": \"Generative and Agentic AI (GAAI)\"}]}, {\"key\": \"GTEP 10 - Strategic Interaction and Information Design\", \"display\": \"GTEP 10 \u2013 Strategic Interaction and Information Design\", \"code\": \"GTEP 10\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\", \"papers\": [{\"paper_id\": \"1716\", \"title\": \"Follow the STARs: Dynamic $\\\\omega$-Regular Shielding of Learned Probabilistic Policies\", \"authors\": \"Ashwani Anand, Satya Prakash Nayak, Ritam Raha, Anne-Kathrin Schmuck\", \"session\": \"GTEP 10 - Strategic Interaction and Information Design\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"1128\", \"title\": \"Greedy Routing Reachability Games\", \"authors\": \"Pascal Lenzner, Paraskevi Machaira\", \"session\": \"GTEP 10 - Strategic Interaction and Information Design\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"1543\", \"title\": \"Interactive Bayesian Deception under Strategic Timing\", \"authors\": \"Amitalok J. Budkuley, Arya Choudhuri\", \"session\": \"GTEP 10 - Strategic Interaction and Information Design\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"1138\", \"title\": \"Interbank Lending Games\", \"authors\": \"Jinyun Tong, Bart De Keijzer, Haoxiang Wang, Carmine Ventre\", \"session\": \"GTEP 10 - Strategic Interaction and Information Design\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"239\", \"title\": \"Practical approach to $2$-Euclidean Preferences\", \"authors\": \"Michal Dvo\u0159\u00e1k, Jan Pokorn\u00fd, Du\u0161an Knop, Martin Sl\u00e1vik\", \"session\": \"GTEP 10 - Strategic Interaction and Information Design\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"1327\", \"title\": \"Robust Value Maximization in Challenge the Champ Tournaments with Probabilistic Outcomes\", \"authors\": \"Umang Bhaskar, Juhi Chaudhary, Sushmita Gupta, Pallavi Jain, Sanjay Seetharaman\", \"session\": \"GTEP 10 - Strategic Interaction and Information Design\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}, {\"paper_id\": \"232\", \"title\": \"Scalable and Safe Multi-Agent Coordination with Reconstructed Level-k Monte Carlo Tree Search\", \"authors\": \"Zhihao Lin, Lin Wu, Ernie Tian, Alessio Lomuscio, Jianglin Lan\", \"session\": \"GTEP 10 - Strategic Interaction and Information Design\", \"track\": \"Game Theory and Economic Paradigms (GTEP)\"}]}, {\"key\": \"LEARN 3 - Safe and Constrained RL\", \"display\": \"LEARN 3 \u2013 Safe and Constrained RL\", \"code\": \"LEARN 3\", \"track\": \"Learning and Adaptation (LEARN)\", \"papers\": [{\"paper_id\": \"35\", \"title\": \"Feasible Constraint Policy Optimization for Safe Reinforcement Learning\", \"authors\": \"Luoyang Sun, Jiwen Jiang, Ning Yang, Rasul Tutunov, Haifeng Zhang, Jun Wang\", \"session\": \"LEARN 3 - Safe and Constrained RL\", \"track\": \"Learning and Adaptation (LEARN)\"}, {\"paper_id\": \"990\", \"title\": \"Learning to maintain safety through expert demonstrations in settings with unknown constraints: A Q-learning perspective.\", \"authors\": \"George Papadopoulos, George Vouros\", \"session\": \"LEARN 3 - Safe and Constrained RL\", \"track\": \"Learning and Adaptation (LEARN)\"}, {\"paper_id\": \"803\", \"title\": \"MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents\", \"authors\": \"Simon Rosen, Siddarth Singh, Ebenezer Gelo, Helen Sarah Robertson, Ibrahim Suder, Victoria Williams, Benjamin Rosman, Geraud Nangue Tasse, Steven James\", \"session\": \"LEARN 3 - Safe and Constrained RL\", \"track\": \"Learning and Adaptation (LEARN)\"}, {\"paper_id\": \"843\", \"title\": \"Neuro-symbolic Action Masking for Deep Reinforcement Learning\", \"authors\": \"Shuai Han, Mehdi Dastani, Shihan Wang\", \"session\": \"LEARN 3 - Safe and Constrained RL\", \"track\": \"Learning and Adaptation (LEARN)\"}, {\"paper_id\": \"103\", \"title\": \"OSIL: Learning Offline Safe Imitation Policies with Safety Inferred from Non-preferred Trajectories\", \"authors\": \"Returaj Burnwal, Nirav Pravinbhai Bhatt, Balaraman Ravindran\", \"session\": \"LEARN 3 - Safe and Constrained RL\", \"track\": \"Learning and Adaptation (LEARN)\"}, {\"paper_id\": \"525\", \"title\": \"PREFINE: Preference-based Implicit Reward and Cost Fine-tuning for Safety Alignment\", \"authors\": \"Richa Verma, Bavish Kulur, Sanjay Chawla, Balaraman Ravindran\", \"session\": \"LEARN 3 - Safe and Constrained RL\", \"track\": \"Learning and Adaptation (LEARN)\"}, {\"paper_id\": \"281\", \"title\": \"Safe Reinforcement Learning via Recovery-based Shielding with Gaussian Process Dynamics Models\", \"authors\": \"Alex Goodall, Francesco Belardinelli\", \"session\": \"LEARN 3 - Safe and Constrained RL\", \"track\": \"Learning and Adaptation (LEARN)\"}]}, {\"key\": \"RR 5 - Representation, Reasoning, Observability and Optimization\", \"display\": \"RR 5 \u2013 Representation, Reasoning, Observability and Optimization\", \"code\": \"RR 5\", \"track\": \"Learning and Adaptation (LEARN)\", \"papers\": [{\"paper_id\": \"176\", \"title\": \"Axiomatic Foundations of Counterfactual Explanations\", \"authors\": \"Leila Amgoud, Martin C. Cooper\", \"session\": \"RR 5 - Representation, Reasoning, Observability and Optimization\", \"track\": \"Representation and Reasoning (RR)\"}, {\"paper_id\": \"1513\", \"title\": \"Characterizing Consensuses in Belief Flow Networks\", \"authors\": \"Nicolas Schwind, Gauvain Bourgne, Katsumi Inoue\", \"session\": \"RR 5 - Representation, Reasoning, Observability and Optimization\", \"track\": \"Representation and Reasoning (RR)\"}, {\"paper_id\": \"881\", \"title\": \"IntRec: Intent-based Retrieval with Contrastive Refinement\", \"authors\": \"Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Yue Lu\", \"session\": \"RR 5 - Representation, Reasoning, Observability and Optimization\", \"track\": \"Learning and Adaptation (LEARN)\"}, {\"paper_id\": \"\", \"title\": \"LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi-Agent Systems\", \"authors\": \"Ron Solomon, Yarin Yerushalmi Levi, Lior Waknin, Eran Aizikovich, Amit Baras, Etai Ohana, Amit Giloni, Shamik Bose, Chiara Picardi, Yuval Elovici, Asaf Shabtai\", \"session\": \"RR 5 - Representation, Reasoning, Observability and Optimization\", \"track\": \"\"}, {\"paper_id\": \"\", \"title\": \"Resilient Strategies for Stochastic Systems: How Much Does it Take to Break a Winning Strategy?\", \"authors\": \"Kush Grover, Markel Zubia, Debraj Chakraborty, Muqsit Azeem, Nils Jansen, Jan Kretinsky\", \"session\": \"RR 5 - Representation, Reasoning, Observability and Optimization\", \"track\": \"\"}, {\"paper_id\": \"\", \"title\": \"The Observer\u2013Situation Lattice: A Unified Formal Basis for Perspective-Aware Cognition\", \"authors\": \"Saad Alqithami\", \"session\": \"RR 5 - Representation, Reasoning, Observability and Optimization\", \"track\": \"\"}, {\"paper_id\": \"\", \"title\": \"Hypertension and total-order forward decomposition optimizations\", \"authors\": \"Maur\u00edcio Cec\u00edlio Magnaguagno, Felipe Meneguzzi, Lavindra de Silva\", \"session\": \"RR 5 - Representation, Reasoning, Observability and Optimization\", \"track\": \"\"}]}, {\"key\": \"SOPS3 - Graphs and MDPs\", \"display\": \"SOPS 3 \u2013 Graphs and MDPs\", \"code\": \"SOPS 3\", \"track\": \"Search, Optimization, Planning, and Scheduling (SOPS)\", \"papers\": [{\"paper_id\": \"929\", \"title\": \"A Semi-Decentralized Approach to Multiagent Control\", \"authors\": \"Mahdi Al-Husseini, Mykel Kochenderfer, Kyle Hollins Wray\", \"session\": \"SOPS3 - Graphs and MDPs\", \"track\": \"Search, Optimization, Planning, and Scheduling (SOPS)\"}, {\"paper_id\": \"265\", \"title\": \"Catch Me If You Can: Finding the Source of Infections in Temporal Networks\", \"authors\": \"Ben Bals, Michelle D\u00f6ring, Nicolas Klodt, George Skretas\", \"session\": \"SOPS3 - Graphs and MDPs\", \"track\": \"Search, Optimization, Planning, and Scheduling (SOPS)\"}, {\"paper_id\": \"1402\", \"title\": \"IMAS$^2$: Joint Agent Selection and Information-Theoretic Coordinated Perception In Dec-POMDPs\", \"authors\": \"Chongyang Shi, Wesley A. Suttle, Michael Dorothy, Jie Fu\", \"session\": \"SOPS3 - Graphs and MDPs\", \"track\": \"Search, Optimization, Planning, and Scheduling (SOPS)\"}, {\"paper_id\": \"699\", \"title\": \"Lifted Forward Planning in Relational Factored Markov Decision Processes with Concurrent Actions\", \"authors\": \"Florian Andreas Marwitz, Tanya Braun, Ralf M\u00f6ller, Marcel Gehrke\", \"session\": \"SOPS3 - Graphs and MDPs\", \"track\": \"Search, Optimization, Planning, and Scheduling (SOPS)\"}, {\"paper_id\": \"1770\", \"title\": \"Perception-Based Beliefs for POMDPs with Visual Observations\", \"authors\": \"Miriam Ackermann, Merlijn Krale, Thiago D. Sim\u00e3o, Nils Jansen, Maximilian Weininger\", \"session\": \"SOPS3 - Graphs and MDPs\", \"track\": \"Search, Optimization, Planning, and Scheduling (SOPS)\"}, {\"paper_id\": \"497\", \"title\": \"Universal Solvability for Robot Motion Planning on Graphs\", \"authors\": \"Anubhav Dhar, Pranav Nyati, Tanishq Prasad, Ashlesha Hota, Sudeshna Kolay\", \"session\": \"SOPS3 - Graphs and MDPs\", \"track\": \"Search, Optimization, Planning, and Scheduling (SOPS)\"}, {\"paper_id\": \"822\", \"title\": \"Placing Green Bridges Optimally, with Close-Range Habitats in Sparse Graphs\", \"authors\": \"Christian Wallisch, Till Fluschnik, Leon Kellerhals\", \"session\": \"SOPS3 - Graphs and MDPs\", \"track\": \"Search, Optimization, Planning, and Scheduling (SOPS)\"}]}]}]}];<!-- [et_pb_line_break_holder] -->const OVERVIEW = {\"Wednesday, 27 May\": [[\"8:30\u20139:00\", \"Opening Session\", \"plenary\"], [\"9:00\u201310:00\", \"Keynote\", \"plenary\"], [\"10:00\u201310:45\", \"Coffee Break \/ Posters \/ Demos\", \"papers\"], [\"10:45\u201312:30\", \"Session 1\", \"session\"], [\"12:30\u201314:00\", \"Lunch\", \"plenary\"], [\"14:00\u201315:45\", \"Session 2\", \"session\"], [\"15:45\u201316:30\", \"Coffee Break \/ Posters \/ Demos\", \"papers\"], [\"16:30\u201317:30\", \"Award Talk\", \"plenary\"], [\"17:30\u201318:30\", \"Panel\", \"plenary\"]], \"Thursday, 28 May\": [[\"9:00\u201310:00\", \"Keynote\", \"plenary\"], [\"10:00\u201310:45\", \"Coffee Break \/ Posters \/ Demos\", \"papers\"], [\"10:45\u201312:30\", \"Session 1\", \"session\"], [\"12:30\u201313:30\", \"Lunch\", \"plenary\"], [\"13:30\u201315:15\", \"Session 2\", \"session\"], [\"15:15\u201316:00\", \"Coffee Break \/ Posters \/ Demos\", \"papers\"], [\"16:00\u201317:00\", \"Keynote\", \"plenary\"]], \"Friday, 29 May\": [[\"9:00\u201310:00\", \"Keynote\", \"plenary\"], [\"10:00\u201310:45\", \"Coffee Break \/ Posters \/ Demos\", \"papers\"], [\"10:45\u201312:30\", \"Session 1\", \"session\"], [\"12:30\u201314:00\", \"Lunch\", \"plenary\"], [\"14:00\u201315:45\", \"Session 2\", \"session\"], [\"15:45\u201316:30\", \"Coffee Break \/ Posters \/ Demos\", \"papers\"], [\"16:30\u201317:45\", \"Community Meeting\", \"plenary\"]]};<!-- [et_pb_line_break_holder] -->const POSTER_DEMO_PAPERS = {\"Wednesday, 27 May\": {\"2\": [], \"6\": []}, \"Thursday, 28 May\": {\"1\": [], \"5\": []}, \"Friday, 29 May\": {\"1\": [], \"5\": []}};<!-- [et_pb_line_break_holder] -->const KEYNOTES = {\"Wednesday, 27 May\":{\"9:00\u201310:00\":{\"speaker\":\"Sabine Hauert\",\"title\":\"Designing Trustworthy Robot Swarms for Real-World Applications\"},\"16:30\u201317:30\":{\"speaker\":\"Tonghan Wang\",\"title\":\"Victor Lesser Dissertation Award Talk\"}},\"Thursday, 28 May\":{\"9:00\u201310:00\":{\"speaker\":\"Sven Koenig\",\"title\":\"ACM Autonomous Agents Award Talk\"},\"16:00\u201317:00\":{\"speaker\":\"Michael Wooldridge\",\"title\":\"Rethinking Multi-agent Systems in the Era of LLMs\"}},\"Friday, 29 May\":{\"9:00\u201310:00\":{\"speaker\":\"Joanna Bryson\",\"title\":\"The Limits of Artificial Agency\"}}};<!-- [et_pb_line_break_holder] -->const $ = (sel, root=document) => root.querySelector(sel);<!-- [et_pb_line_break_holder] -->const $$ = (sel, root=document) => Array.from(root.querySelectorAll(sel));<!-- [et_pb_line_break_holder] -->const esc = s => String(s || '').replace(\/[&<>\"']\/g, c => ({'&':'&','<':'<','>':'>','\"':'\"',\"'\":'''}[c]));<!-- [et_pb_line_break_holder] -->const trackFrom = code => (code || '').split(' ')[0].replace(\/[^A-Z]\/g,'') || 'Other';<!-- [et_pb_line_break_holder] -->const tracks = ['All', ...Array.from(new Set(PROGRAM_DATA.flatMap(d => d.slots.flatMap(sl => sl.sessions.map(s => trackFrom(s.code)))))).sort()];<!-- [et_pb_line_break_holder] -->let activeDay = PROGRAM_DATA[0].day;<!-- [et_pb_line_break_holder] -->let activeTrack = 'All';<!-- [et_pb_line_break_holder] -->let expanded = false;<!-- [et_pb_line_break_holder] -->function renderTabs() {<!-- [et_pb_line_break_holder] --> $('#dayTabs').innerHTML = PROGRAM_DATA.map(d => `<button class=\"day-tab ${d.day===activeDay?'active':''}\" data-day=\"${esc(d.day)}\">${esc(d.day)}<\/button>`).join('');<!-- [et_pb_line_break_holder] --> $('#trackFilters').innerHTML = tracks.map(t => `<button class=\"track-pill ${t===activeTrack?'active':''}\" data-track=\"${esc(t)}\">${esc(t)}<\/button>`).join('');<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->function paperHTML(p) {<!-- [et_pb_line_break_holder] --> return `<\/p>\n<article class=\"paper\">${p.paper_id ? 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