{"id":126,"date":"2024-12-28T21:40:34","date_gmt":"2024-12-29T02:40:34","guid":{"rendered":"https:\/\/web.archive.org\/web\/20250120152753\/https:\/\/aamas2025.org\/?page_id=126"},"modified":"2025-01-12T15:13:12","modified_gmt":"2025-01-12T20:13:12","slug":"accepted-extended-abstracts","status":"publish","type":"page","link":"https:\/\/web.archive.org\/web\/20250120152753\/https:\/\/aamas2025.org\/index.php\/conference\/program\/accepted-extended-abstracts\/","title":{"rendered":"Accepted Extended Abstracts"},"content":{"rendered":"\n

Accepted Extended Abstracts (Main Technical Track)<\/h2>\n\n\n\n
ID<\/strong><\/th>Title<\/strong><\/th>Authors<\/strong><\/th><\/tr><\/thead>
<\/td><\/td><\/td><\/tr>
184<\/td>Human-Readable Neuro-Fuzzy Networks from Frequent Yet Discernible Patterns in Reward-Based Environments<\/td>John Wesley Hostetter, Adittya Soukarjya Saha, Md Mirajul Islam, Tiffany Barnes, Min Chi<\/td><\/tr>
16<\/td>Adapting Beyond the Depth Limit: Counter Strategies in Large Imperfect Information Games<\/td>David Milec, Vojtech Kovarik, Viliam Lis\u00fd<\/td><\/tr>
5<\/td>PANDA: Priority-Based Collision Avoidance Framework for Heterogeneous UAVs Navigating in Dense Airspace<\/td>Agamdeep Singh, Jaskirat Singh, Sujit Pb<\/td><\/tr>
590<\/td>AlphaZeroES: Direct Score Maximization Outperforms Planning Loss Minimization<\/td>Carlos Martin, Tuomas Sandholm<\/td><\/tr>
824<\/td>Equilibrium selection via communication partition<\/td>Wei-Chen Lee, Alessandro Abate, Michael J. Wooldridge<\/td><\/tr>
1042<\/td>Learning to explore when mistakes are not allowed<\/td>Charly Pecqueux-Gu\u00e9z\u00e9nec, Stephane Doncieux, Nicolas Perrin-Gilbert<\/td><\/tr>
386<\/td>Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach<\/td>Xinjie Liu, Jingqi Li, Filippos Fotiadis, Mustafa O. Karabag, Jesse Milzman, David Fridovich-Keil, Ufuk Topcu<\/td><\/tr>
507<\/td>Making Universal Policies Universal<\/td>Niklas Hoepner, David Kuric, Herke Van Hoof<\/td><\/tr>
1262<\/td>Pure Nash Equilibrium and Strong Nash Equilibrum Computation in Aggregate Games<\/td>Jared Soundy, Mohammad T. Irfan, Hau Chan<\/td><\/tr>
155<\/td>Transformer Guided Coevolution: Improved Team Formation in Multiagent Adversarial Games<\/td>Pranav Rajbhandari, Prithviraj Dasgupta, Donald Sofge<\/td><\/tr>
1141<\/td>Learning Flexible Heterogeneous Coordination With Capability-Aware Shared Hypernetworks<\/td>Kevin Fu, Pierce Howell, Shalin Jain, Harish Ravichandar<\/td><\/tr>
1155<\/td>Liquid Welfare and Revenue Monotonicity in Adaptive Clinching Auctions<\/td>Ryosuke Sato<\/td><\/tr>
1021<\/td>Efficient Multi-Agent Delegated Search<\/td>Curtis Bechtel, Shaddin Dughmi<\/td><\/tr>
897<\/td>Can you see how I learn? Human observers\u2019 inferences about Reinforcement Learning agents\u2019 learning processes<\/td>Bernhard Hilpert, Muhan Hou, Kim Baraka, Joost Broekens<\/td><\/tr>
103<\/td>Truman: A Large Language Model-based Multi-agent Simulator for Synthetic Money Laundering Data Generation<\/td>Dattatray Vishnu Kute, Zihao Xu, Yuekang Li, Fethi A Rabhi<\/td><\/tr>
1194<\/td>Asynchronous Cooperative Multi-Agent Reinforcement Learning with Limited Communication<\/td>Sydney Dolan, Siddharth Nayak, Jasmine Jerry Aloor, Hamsa Balakrishnan<\/td><\/tr>
1040<\/td>Formal Verification of Manipulation Dialogues<\/td>Andreas Br\u00e4nnstr\u00f6m, Chiaki Sakama, Juan Carlos Nieves<\/td><\/tr>
173<\/td>Shifting Power: Leveraging LLMs to Simulate Human Aversion in ABMs of Bilateral Financial Exchanges<\/td>A Bond Market Study., Alicia Vidler, Toby Walsh<\/td><\/tr>
755<\/td>Model of the influence of external signals on the trust of the agent in Multi Agent System<\/td>Frederique Lalieu, Tomasz Zurek, Tom Van Engers<\/td><\/tr>
842<\/td>Experience-replay Innovative Dynamics<\/td>Tuo Zhang, Leonardo Stella, Julian Barreiro-Gomez<\/td><\/tr>
682<\/td>Satisfactory Budget Division<\/td>Laurent Gourv\u00e8s, Michael Lampis, Nikolaos Melissinos, Aris Pagourtzis<\/td><\/tr>
267<\/td>Stochastic k<\/em>-Submodular Bandits with Full Bandit Feedback<\/td>Guanyu Nie, Vaneet Aggarwal, Christopher John Quinn<\/td><\/tr>
586<\/td>Practical Comparisons of Reservoir Topology Performance and Input Distribution in Digital Reservoir Computers<\/td>Lewis Thelen, Vikram Ravindra<\/td><\/tr>
181<\/td>Multi-Agent Systems for Bullying Intervention<\/td>Luis Zhinin-Vera, Jos\u00e9 J Gonz\u00e1lez-Garc\u00eda, V\u00edctor L\u00f3pez-Jaquero, Elena Navarro, Pascual Gonz\u00e1lez<\/td><\/tr>
520<\/td>Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity<\/td>Calarina Muslimani, Bram Grooten, Deepak Ranganatha Sastry Mamillapalli, Mykola Pechenizkiy, Decebal Constantin Mocanu, Matthew E. Taylor<\/td><\/tr>
673<\/td>The Costly Bargain: Economic Impacts of Price-Seeking Behavior in Aging Populations<\/td>Fuguang Chen, Alan Tsang<\/td><\/tr>
869<\/td>Agential AI for Integrated Continual Learning<\/td>Deliberative Behavior, And Comprehensible Models, Zeki Doruk Erden, Boi Faltings<\/td><\/tr>
429<\/td>Parameterized Complexity of Hedonic Games with Enemy-Oriented Preferences<\/td>Martin Durand, Laurin Erlacher, Johanne M\u00fcller Vistisen, Sofia Simola<\/td><\/tr>
1025<\/td>Fairness in Cooperative Multiagent Multiobjective Reinforcement Learning using the Expected Scalarized Reward Criterion<\/td>Fares Chouaki, Aur\u00e9lie Beynier, Nicolas Maudet, Paolo Viappiani<\/td><\/tr>
557<\/td>Predictive Improvement through Latent Space Optimisation<\/td>Alexander McCaffrey, Eduardo Alonso, Esther Mondragon<\/td><\/tr>
644<\/td>FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation<\/td>Wenzheng Jiang, Ji Wang, Xiongtao Zhang, Weidong Bao, Cheston Tan, Flint Xiaofeng Fan<\/td><\/tr>
890<\/td>Improving the effectiveness of potential-based reward shaping in reinforcement learning<\/td>Henrik M\u00fcller, Daniel Kudenko<\/td><\/tr>
906<\/td>Distributed Adaptive Macroscopic Ensemble Task Allocation of Heterogeneous Robot Teams in Dynamic Environments<\/td>Victoria Edwards, M. Ani Hsieh<\/td><\/tr>
310<\/td>Dynamic Agent Replacement: Optimizing Team Performance within Adversarial Environments<\/td>Gregory Everett, Ryan Beal, Tim Matthews, Timothy J. Norman, Sarvapali Ramchurn<\/td><\/tr>
541<\/td>ChatBDI: Think BDI, Talk LLM<\/td>Andrea Gatti, Viviana Mascardi, Angelo Ferrando<\/td><\/tr>
311<\/td>IBGP: Imperfect Byzantine Generals Problem for Zero-Shot Robustness in Communicative Multi-Agent Systems<\/td>Yihuan Mao, Yipeng Kang, Peilun Li, Ning Zhang, Wei Xu, Chongjie Zhang<\/td><\/tr>
464<\/td>Social Ranking for Feature Selection<\/td>Laurent Gourv\u00e8s, Stefano Moretti, Satya Tamby<\/td><\/tr>
1125<\/td>Diffusion-Reinforcement Learning Hierarchical Motion Planning in Adversarial Multi-agent Games<\/td>Zixuan Wu, Sean Charles Ye, Manisha Natarajan, Matthew Gombolay<\/td><\/tr>
117<\/td>Resource Allocation under the Latin Square Constraint<\/td>Yasushi Kawase, Bodhayan Roy, Mohammad Azharuddin Sanpui<\/td><\/tr>
113<\/td>Local Anomaly Detection with Partial Observation in Multi-agent Systems as a Data Matching Game<\/td>Zixin Ye, Christopher Leckie, Tansu Alpcan<\/td><\/tr>
863<\/td>CPE: A New Paradigm for Policy Extraction in Offline Reinforcement Learning<\/td>Zhaohui Yang, Xiaoxuan Wang, Linjing Li<\/td><\/tr>
1002<\/td>Action-Dependent Optimality-Preserving Reward Shaping<\/td>Grant Collier Forbes, Jianxun Wang, Leonardo Villalobos-Arias, Arnav Jhala, David Roberts<\/td><\/tr>
525<\/td>LogiEx: Integrating Formal Logic and Large Language Model for Explainable Planning<\/td>Ziyan An, Xia Wang, Hendrik Baier, Zirong Chen, Abhishek Dubey, Taylor T Johnson, Jonathan Sprinkle, Ayan Mukhopadhyay, Meiyi Ma<\/td><\/tr>
971<\/td>Combining Normative Ethics Principles to Learn Prosocial Behaviour<\/td>Jessica Woodgate, Nirav Ajmeri<\/td><\/tr>
274<\/td>Learning Fair and Preferable Allocations through Neural Network<\/td>Ryota Maruo, Koh Takeuchi, Hisashi Kashima<\/td><\/tr>
975<\/td>Bridging the Gap between Partially Observable Stochastic Games and Sparse POMDP Methods<\/td>Tyler Becker, Zachary N Sunberg<\/td><\/tr>
304<\/td>Enhancing Offline Safe Reinforcement Learning with Trajectory-Constrained Diffusion Planning<\/td>Hengrui Zhang, Youfang Lin, Shuo Shen, Hanfeng Lin, Peng Cheng, Sheng Han, Kai Lv<\/td><\/tr>
172<\/td>Robust Strategies for Stochastic Multi-Agent Systems<\/td>Rapha\u00ebl Berthon, Joost-Pieter Katoen, Munyque Mittelmann, Aniello Murano<\/td><\/tr>
970<\/td>Weighted Envy Freeness With Bounded Subsidies<\/td>Noga Klein Elmalem, Rica Gonen, Erel Segal-Halevi<\/td><\/tr>
747<\/td>Multi-Agent Pickup and Delivery with Batteries<\/td>Marcello Bavaro, Francesco Amigoni<\/td><\/tr>
365<\/td>Requirements-based Explainability for Multi Agent Systems<\/td>Sebastian Rodriguez, John Thangarajah, Michael Winikoff<\/td><\/tr>
448<\/td>Interaction Protocols in an Imperative Agent-Oriented Programming Language: the case of BSPL and SARL<\/td>Matteo Baldoni, Cristina Baroglio, St\u00e9phane Galland, Roberto Micalizio, Fatma Outay, Stefano Tedeschi<\/td><\/tr>
949<\/td>Trading-off Accuracy and Communication Cost in Federated Learning<\/td>Mattia Jacopo Villani, Emanuele Natale, Frederik Mallmann-Trenn<\/td><\/tr>
1297<\/td>Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning<\/td>Lunjun Liu, Weilai Jiang, Yaonan Wang<\/td><\/tr>
75<\/td>Efficient Model Checking with Semantically-Equivalent Models for vGOAL<\/td>Yi Yang, Tom Holvoet<\/td><\/tr>
134<\/td>Neighborhood Stability in Assignments on Graphs<\/td>Haris Aziz, Grzegorz Lisowski, Mashbat Suzuki, Jeremy Vollen<\/td><\/tr>
217<\/td>Learning Heterogeneous Agent Collaboration in Decentralized Multi-Agent Systems via Intrinsic Motivation<\/td>Jahir Sadik Monon, Deeparghya Dutta Barua, Md Mosaddek Khan<\/td><\/tr>
433<\/td>Egalitarianism in Online Coalition Formation<\/td>Saar Cohen, Noa Agmon<\/td><\/tr>
223<\/td>Fast Adaption by Policy Deviation Integral Meta-reinforcement Learning with Applications to High-speed Trains Operation<\/td>Haotong Zhang, Wanyuan Wang<\/td><\/tr>
1090<\/td>Diverse Heterogeneous Graph Conditioned Diffusion for Multi-Agent Teaming<\/td>Luis Manuel Pimentel, Sean Charles Ye, James Ellis Grant Pagan, Matthew Gombolay<\/td><\/tr>
109<\/td>Predicting Team Performance from Communications in Simulated Search-and-Rescue<\/td>Ali Jalal-Kamali, Nikolos M Gurney, David V. Pynadath<\/td><\/tr>
444<\/td>Distributed Value Decomposition Networks with Networked Agents<\/td>Guilherme S. Varela, Alberto Sardinha, Francisco S. Melo<\/td><\/tr>
656<\/td>Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences<\/td>Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran<\/td><\/tr>
547<\/td>Reasoning and Planning with Dynamic Social Norms<\/td>Taylor Olson, Roberto Salas-Damian, Kenneth Forbus<\/td><\/tr>
1210<\/td>Matching Markets with Chores<\/td>Thorben Tr\u00f6bst, Jugal Garg, Vijay Vazirani<\/td><\/tr>
768<\/td>Quantitative Operational Monitoring for BDI Agents<\/td>Marie Farrell, Angelo Ferrando, Mengwei Xu<\/td><\/tr>
463<\/td>CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning<\/td>Zeyuan Liu, Yang Kai, Jiafei Lyu, Xiu Li<\/td><\/tr>
972<\/td>Participatory Budgeting Project Strength via Candidate Control<\/td>Piotr Faliszewski, \u0141ukasz Janeczko, Du\u0161an Knop, Jan Pokorn\u00fd, \u0160imon Schierreich, Mateusz S\u0142uszniak, Krzysztof Sornat<\/td><\/tr>
1335<\/td>To Stand on the Shoulders of Giants: Should We Protect Initial Discoveries in Multi-Agent Exploration?<\/td>Hodaya Lampert, Reshef Meir, Kinneret Teodorescu<\/td><\/tr>
123<\/td>Group Fairness in Multi-period Mobile Facility Location Problems<\/td>Haris Aziz, Hau Chan, Xingchen Sha, Toby Walsh, Lirong Xia<\/td><\/tr>
960<\/td>Less is More: Simple and Scalable Out-of-Distribution Dynamics Detection Using RBF Kernel-Based Descriptors<\/td>Tala Jafari, Philip Torr, Varun Kanade, Christian Schroeder De Witt<\/td><\/tr>
677<\/td>Traffic Anomaly Detection through Generative Modeling of Multi-Agent Interactions in Traffic Flow<\/td>Zhuojun Chen, Tacitus Hui, Xinghua Zhu, Dongzhe Su<\/td><\/tr>
364<\/td>DyLam: A Dynamic Reward Weighting Framework for Reinforcement Learning Algorithms<\/td>Mateus Gon\u00e7alves Machado, Hansenclever Bassani<\/td><\/tr>
348<\/td>Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields<\/td>Arseniy Pertzovsky, Roni Stern, Roie Zivan, Ariel Felner<\/td><\/tr>
26<\/td>Offline Meta Reinforcement Learning with Weighted Policy Constraints and Proximal Context Collection<\/td>Haorui Li, Jiaqi Liang, Linjing Li, Daniel Dajun Zeng<\/td><\/tr>
588<\/td>Dynamic Reward Sharing to Enhance Learning in the Context of Multiagent Teams<\/td>Kyle Tilbury, David Radke<\/td><\/tr>
705<\/td>Mitigating Non-Stationarity in Deep Reinforcement Learning with Clustering Orthogonal Weight Modification<\/td>Guoqing Ma, Yuhan Zhang, Yuming Dai, Guangfu Hao, Yang Chen, Shan Yu<\/td><\/tr>
1366<\/td>Adaptive Microtolling in Competitive Online Congestion Games via Multiagent Reinforcement Learning<\/td>Behrad Koohy, Sebastian Stein, Enrico Gerding<\/td><\/tr>
1263<\/td>On the existence of EFX allocations in multigraphs<\/td>Alkmini Sgouritsa, Minas Marios Sotiriou<\/td><\/tr>
860<\/td>Entropic Exploration for Constrained Multiagent Reinforcement Learning<\/td>Ayhan Alp Aydeniz, Enrico Marchesini, Robert Loftin, Christopher Amato, Kagan Tumer<\/td><\/tr>
296<\/td>Adaptive Offline Data Replay in Offline-to-Online Reinforcement Learning<\/td>Xu Liu, Tong Yu, Shuai Li<\/td><\/tr>
876<\/td>Runtime Verification with Rational Multi-Monitors<\/td>Davide Catta, Angelo Ferrando, Vadim Malvone<\/td><\/tr>
689<\/td>Decentralized Deep Reinforcement Learning for Cooperative Multi-Agent Flight Trajectory Planning in Adverse Weather<\/td>Bizhao Pang, Mingcheng Zhang, Xinting Hu, Sameer Alam, Guglielmo Lulli<\/td><\/tr>
366<\/td>The Effectiveness of Best-Response Dynamics in Reducing Price of Anarchy for Markov Potential Games<\/td>Dingyang Chen, Xiaoling Zeng, Thinh T. Doan, Qi Zhang<\/td><\/tr>
7<\/td>Nash Equilibrium and Learning Dynamics in Three-Player Matching m<\/em>-Action Games<\/td>Yuma Fujimoto, Kaito Ariu, Kenshi Abe<\/td><\/tr>
452<\/td>Compensating latent nonlinear dynamics for practical consensus control<\/td>Krzysztof Kowalczyk, Dominik Baumann, Cristian R. Rojas, Pawe\u0142 Wachel<\/td><\/tr>
260<\/td>Dynamic Conservative Degree Allocation for Offline Multi-Agent Reinforcement Learning<\/td>Haosheng Chen, Yun Hua, Junjie Sheng, Wenhao Li, Bo Jin, Xiangfeng Wang<\/td><\/tr>
1053<\/td>Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools<\/td>Panagiotis Lymperopoulos, Vasanth Sarathy<\/td><\/tr>
396<\/td>Optimal Mechanism Design for Crowdfunding of Public Goods<\/td>Yukun Cheng, Xiaotie Deng, Baqiao Quan<\/td><\/tr>
350<\/td>On-Policy Reinforcement Learning From Failure via Sparse Reward Densification<\/td>Mingkang Wu, Yongcan Cao<\/td><\/tr>
1216<\/td>EconTwo: A Two-Level Multi-Agent Framework for Dynamic Macroeconomic Modeling with Shock Resilience<\/td>Zhixun Chen, Zijing Shi, Yaodong Yang, Meng Fang, Yali Du<\/td><\/tr>
1138<\/td>Weighted Envy-free Allocation with Subsidy<\/td>Haris Aziz, Xin Huang, Kei Kimura, Indrajit Saha, Zhaohong Sun, Mashbat Suzuki, Makoto Yokoo<\/td><\/tr>
1359<\/td>Fusing Physical and Cognitive Stimuli: An Eye Movement Emotion Recognition Framework Based on Hierarchical Attention Mechanism<\/td>Zhi Lin Li, Xiaomei Tao<\/td><\/tr>
1104<\/td>Symplex: Learning social norm hierarchies by combining autonomous exploration and expert imitation<\/td>Oliver Deane, Oliver Ray<\/td><\/tr>
188<\/td>Heuristics-Assisted Experience Replay Strategy for Cooperative Multi-Agent Reinforcement Learning<\/td>Xie Yi, Ziqing Zhou, Chun Ouyang, Siao Liu, Linqiang Hu, Zhongxue Gan<\/td><\/tr>
862<\/td>Decision-Making in Evolving Environments: A Bayesian Multi-Agent Bandit Framework<\/td>Mohammad Essa Alsomali, Leandro Soriano Marcolino, Barry Porter, Roberto Rodrigues-Filho<\/td><\/tr>
957<\/td>Is an exponentially growing action space really that bad? Validating a Core Assumption for using Multi-Agent RL<\/td>Ruan John De Kock, Arnu Pretorius, Jonathan P. Shock<\/td><\/tr>
735<\/td>Multiplayer Games With Incomplete Information for Hyperproperty Verification<\/td>Raven Beutner, Bernd Finkbeiner<\/td><\/tr>
253<\/td>Negotiated Reasoning: On Provably Addressing Relative Over-Generalization<\/td>Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang<\/td><\/tr>
505<\/td>Reducing Variance Caused by Communication in Decentralized Multi-agent Deep Reinforcement Learning<\/td>Changxi Zhu, Mehdi Dastani, Shihan Wang<\/td><\/tr>
844<\/td>Multi-Agent Reinforcement Learning with Selective State-Space Models<\/td>Jemma Daniel, Ruan John De Kock, Louay Ben Nessir, Sasha Abramowitz, Omayma Mahjoub, Wiem Khlifi, Juan Claude Formanek, Arnu Pretorius<\/td><\/tr>
584<\/td>Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense<\/td>Aditya Vikram Singh, Ethan Rathbun, Emma Graham, Lisa Oakley, Simona Boboila, Alina Oprea, Peter Chin<\/td><\/tr>
626<\/td>Rethinking Explainable AI: Explanations can be Deceiving<\/td>Peta Masters, Daniel Gallagher, Luc Moreau, Mor Vered<\/td><\/tr>
1348<\/td>Coordinating Competing Electric Vehicle Fleets: An Agent-Based Charging Capacity Market<\/td>Lennard Sund, Janik Muires, Ramin Ahadi, Konstantina Valogianni, Wolfgang Ketter<\/td><\/tr>
236<\/td>Learning Robust Representations for Visual Reinforcement Learning via Task-Relevant Mask Sampling<\/td>Vedant Dave, Ozan Ozdenizci, Elmar Rueckert<\/td><\/tr>
278<\/td>Towards Automating the Design of Value-Aligned Clinical Protocols<\/td>Manel Rodriguez-Soto, Nardine Osman, Carles Sierra, Rocio Cintas-Garcia, Cristina Farriols-Danes, Montserrat Garcia-Retortillo, Silvia Minguez-Maso, Jordi Martinez-Roldan<\/td><\/tr>
723<\/td>Environmental Policies within Cournot Oligopoly<\/td>Liang Shan, Zhengyang Liu, Haoqiang Huang, Zihe Wang<\/td><\/tr>
1254<\/td>Using Assistance Rewards Without Introducing Bias: Overcoming Sparse Rewards in Multi-Agent Reinforcement Learning<\/td>Yue Yang, Bernd Meyer, Frits De Nijs<\/td><\/tr>
736<\/td>RainbowArena: A Multi-Agent Toolkit for Reinforcement Learning and Large Language Models in Competitive Tabletop Games<\/td>Yingzhuo Liu, Shuodi Liu, Hongsong Tang, Yubing Ma, Zikang Li, Junge Zhang, Liuyu Xiang, Zhaofeng He<\/td><\/tr>
1154<\/td>Evaluating and Improving Graph-based Explanation Methods for Multi-Agent Coordination<\/td>Siva Kailas, Shalin Jain, Harish Ravichandar<\/td><\/tr>
1395<\/td>A Minimalist Approach to Augmentation-based Self-supervised Representation Learning for On-policy Reinforcement Learning<\/td>Nasik Muhammad Nafi, William Hsu<\/td><\/tr>
175<\/td>Observer-Aware Probabilistic Planning under Partial Observability<\/td>Salom\u00e9 Lepers, Vincent Thomas, Olivier Buffet<\/td><\/tr>
978<\/td>Towards Fair and Efficient Policy Learning in Cooperative Multi-Agent Reinforcement Learning<\/td>Umer Siddique, Peilang Li, Yongcan Cao<\/td><\/tr>
161<\/td>Online housing market<\/td>Julien Lesca<\/td><\/tr>
901<\/td>Memory Assignment for Finite-Memory Strategies in Adversarial Patrolling Games<\/td>Vojt\u011bch K\u016fr, V\u00edt Musil, Vojt\u011bch \u0158eh\u00e1k<\/td><\/tr>
202<\/td>Regret Guarantees for a UCB-based Algorithm for Volatile Combinatorial Bandits<\/td>Andra Siva Sai Teja, Kumar Abhishek, Sujit Gujar, Yadati Narahari, Ganesh Ghalme<\/td><\/tr>
722<\/td>SFedRec: A Federated Learning Framework for Dynamic Session-based Recommendation<\/td>Hexiao Zhang, Yanni Tang, Jiamou Liu, Wu Chen<\/td><\/tr>
546<\/td>Modeling the Collaborative Edge Data Caching Problem via a Dynamic DCOP<\/td>Ziyang Song, Ziyu Chen, Jinhui Huang, Cheng Zhang, Jingyuan He<\/td><\/tr>
347<\/td>On the Distortion of Multi-Winner Elections on the Line Metric<\/td>Negar Babashah, Hasti Karimi, Masoud Seddighin, Golnoosh Shahkarami<\/td><\/tr>
993<\/td>(Submodular) Hedonic Games with Common Ranking Property<\/td>Bugra Caskurlu, Ali Eser<\/td><\/tr>
732<\/td>Efficient Training of Generalizable Visuomotor Policies via Control-Aware Augmentation<\/td>Yinuo Zhao, Kun Wu, Tianjiao Yi, Zhiyuan Xu, Zhengping Che, Qinru Qiu, Chi Harold Liu, Jian Tang<\/td><\/tr>
235<\/td>RallyDiffuser: A Representation-Guided Diffusion Model Framework for Strategic Planning in Badminton<\/td>Bing-Zhi Ke, Kuang-Da Wang, Wen-Chih Peng<\/td><\/tr>
275<\/td>MORL4Water: A Modular Multi-Objective Reinforcement Learning Toolkit for Water Resource Management<\/td>Zuzanna Osika, Roxana R\u0103dulescu, Jazmin Zatarain Salazar, Frans A Oliehoek, Pradeep K. Murukannaiah<\/td><\/tr>
565<\/td>Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task Learning<\/td>Dmytro Kuzmenko, Nadiya Shvai<\/td><\/tr>
449<\/td>Managing an Agent\u2019s Changing Intentions Using LTL\ud835\udc53 Synthesis<\/td>Giuseppe De Giacomo, Yves Lesperance, Gianmarco Parretti, Fabio Patrizi, Renzo Schram<\/td><\/tr>
17<\/td>Dynamic Option Creation in Option-Critic Reinforcement Learning<\/td>Mateus Begnini Melchiades, Gabriel De Oliveira Ramos, Bruno Castro Da Silva<\/td><\/tr>
362<\/td>Enhancing Robot Navigation Policies with Task-Specific Uncertainty Management<\/td>Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Melkior Ornik<\/td><\/tr>
1073<\/td>Online Competitive Information Gathering for Partially Observable Trajectory Games<\/td>Mel Krusniak, Hang Xu, Parker Palermo, Forrest John Laine<\/td><\/tr>
205<\/td>Voter Participation Control in Online Polls<\/td>Koustav De, Palash Dey, Swagato Sanyal<\/td><\/tr>
1204<\/td>Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs<\/td>Ofer Dagan, Tyler Becker, Zachary N Sunberg<\/td><\/tr>
88<\/td>Empowering Generalization for Deep Reinforcement Learning via Symbolic Planning<\/td>Tianpei Yang, Srijita Das, Christabel Wayllace, Matthew E. Taylor<\/td><\/tr>
1308<\/td>Will Systems of LLM Agents Lead to Cooperation: An Investigation into a Social Dilemma<\/td>Richard Willis, Yali Du, Joel Z Leibo<\/td><\/tr>
1237<\/td>Group-fair Facility Location Games with Externalities<\/td>Minming Li, Cheng Peng, Ying Wang, Houyu Zhou<\/td><\/tr>
426<\/td>Adaptive Budget Optimization for Multichannel Advertising Using Combinatorial Bandits<\/td>Briti Gangopadhyay, Zhao Wang, Alberto Silvio Chiappa, Shingo Takamatsu<\/td><\/tr>
133<\/td>Shapley Value-based Approach for Distributing Revenue of Matchmaking of Private Transactions in Blockchains<\/td>Rasheed, Parth Desai, Yash Chaurasia, Sujit Gujar<\/td><\/tr>
317<\/td>CADP: Towards Better Centralized Learning for Decentralized Execution in MARL<\/td>Yihe Zhou, Shunyu Liu, Yunpeng Qing, Tongya Zheng, Kaixuan Chen, Jie Song, Mingli Song<\/td><\/tr>
190<\/td>Fair Assignment on Multi-Stage Graphs<\/td>Vibulan J, Swapnil Dhamal, Shweta Jain, Ojassvi Kumar, Aman Kumar, Harpreet Singh<\/td><\/tr>
1018<\/td>Planning for Temporally Extended Goals based on alpha-CTL<\/td>Viviane Bonadia Dos Santos, Leliane N. De Barros, Maria Viviane De Menezes, Silvio Do Lago Pereira<\/td><\/tr>
951<\/td>When to Stop Getting Tested: The Theory of Diagnostic Tests<\/td>Anson Kahng, Joseph Saber<\/td><\/tr>
222<\/td>Leveraging Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement Learning<\/td>Chulabhaya Wijesundara, Andrea Baisero, Gregory David Castanon, Alan Carlin, Robert Platt, Christopher Amato<\/td><\/tr>
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Accepted Extended Abstracts (Main Technical Track) ID Title Authors 184 Human-Readable Neuro-Fuzzy Networks from Frequent Yet Discernible Patterns in Reward-Based Environments John Wesley Hostetter, Adittya…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":116,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/web.archive.org\/web\/20250120152753\/https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/pages\/126"}],"collection":[{"href":"https:\/\/web.archive.org\/web\/20250120152753\/https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/web.archive.org\/web\/20250120152753\/https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/web.archive.org\/web\/20250120152753\/https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/web.archive.org\/web\/20250120152753\/https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/comments?post=126"}],"version-history":[{"count":8,"href":"https:\/\/web.archive.org\/web\/20250120152753\/https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/pages\/126\/revisions"}],"predecessor-version":[{"id":966,"href":"https:\/\/web.archive.org\/web\/20250120152753\/https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/pages\/126\/revisions\/966"}],"up":[{"embeddable":true,"href":"https:\/\/web.archive.org\/web\/20250120152753\/https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/pages\/116"}],"wp:attachment":[{"href":"https:\/\/web.archive.org\/web\/20250120152753\/https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/media?parent=126"}],"curies":[{"name":"wp","href":"https:\/\/web.archive.org\/web\/20250120152753\/https:\/\/api.w.org\/{rel}","templated":true}]}}