| ID | Authors | Title |
| 2 | Yifan He, Abdallah Saffidine and Michael Thielscher | Solving Two-player Games with QBF Solvers in General Game Playing |
| 25 | Ahad N. Zehmakan, Xiaotian Zhou and Zhongzhi Zhang | Viral Marketing in Social Networks with Competing Products |
| 29 | Zhaolin Xue, Lihua Zhang and Zhiyan Dong | Successively Pruned Q-Learning: Using Self Q-function to Reduce the Overestimation |
| 33 | Hideaki Takahashi and Alex Fukunaga | On the Transit Obfuscation Problem |
| 38 | Liangda Fang, Meihong Yang, Dingliang Cheng, Yunlai Hao, Quanlong Guan and Liping Xiong | Generalized Strategy Synthesis of Infinite-State Impartial Combinatorial Games via Exact Binary Classification |
| 42 | Stanisław Kaźmierowski and Marcin Dziubiński | Efficient Method for Finding Optimal Strategies in Chopstick Auctions with Uniform Objects Values |
| 54 | Chaya Levinger, Noam Hazon, Sofia Simola and Amos Azaria | Coalition Formation with Bounded Coalition Size |
| 65 | Zhenglong Li, Vincent Tam and Kwan L. Yeung | Developing A Multi-Agent and Self-Adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management |
| 68 | Bram Grooten, Tristan Tomilin, Gautham Vasan, Matthew E. Taylor, A. Rupam Mahmood, Meng Fang, Mykola Pechenizkiy and Decebal Constantin Mocanu | MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning |
| 70 | Ayush Chopra, Arnau Quera-Bofarull, Nurullah Giray Kuru, Michael Wooldridge and Ramesh Raskar | Private Agent-based Modeling |
| 71 | Ayush Chopra, Jayakumar Subramanian, Balaji Krishnamurthy and Ramesh Raskar | flame: a Framework for Learning in Agent-based Models |
| 76 | Keisuke Okumura | Engineering LaCAM*: Towards Real-Time, Large-Scale, and Near-Optimal Multi-Agent Pathfinding |
| 79 | Qirui Mi, Siyu Xia, Yan Song, Haifeng Zhang, Shenghao Zhu and Jun Wang | TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning |
| 81 | Chenmin Wang, Peng Li, Yulong Zeng and Xuepeng Fan | Optimal Flash Loan Fee Function with Respect to Leverage Strategies |
| 84 | Jaël Champagne Gareau, Marc-André Lavoie, Guillaume Gosset and Éric Beaudry | Cooperative Electric Vehicles Planning |
| 86 | Xingzhou Lou, Junge Zhang, Ziyan Wang, Kaiqi Huang and Yali Du | Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models |
| 87 | Fumiyasu Makinoshima, Tetsuro Takahashi and Yusuke Oishi | Bayesian Behavioural Model Estimation for Live Crowd Simulation |
| 88 | Raven Beutner and Bernd Finkbeiner | Hyper Strategy Logic |
| 93 | Vishwa Prakash H.V. and Prajakta Nimbhorkar | Weighted Proportional Allocations of Indivisible Goods and Chores: Insights via Matchings |
| 95 | Paul Barde, Jakob Foerster, Derek Nowrouzezahrai and Amy Zhang | A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem |
| 98 | Adway Mitra and Palash Dey | Evaluating District-based Election Surveys with Synthetic Dirichlet Likelihood |
| 99 | Argyrios Deligkas, Eduard Eiben and Tiger-Lily Goldsmith | The Parameterized Complexity of Welfare Guarantees in Schelling Segregation |
| 100 | Yunhao Yang, Cyrus Neary and Ufuk Topcu | Multimodal Pretrained Models for Verifiable Sequential Decision-Making: Planning, Grounding, and Perception |
| 104 | Halvard Hummel and Ayumi Igarashi | Keeping the Harmony Between Neighbors: Local Fairness in Graph Fair Division |
| 116 | Jasmina Gajcin and Ivana Dusparic | RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning |
| 122 | Sung-Ho Cho, Kei Kimura, Kiki Liu, Kwei-Guu Liu, Zhengjie Liu, Zhaohong Sun, Kentaro Yahiro and Makoto Yokoo | Fairness and efficiency trade-off in two-sided matching |
| 123 | Jean Springsteen, William Yeoh and Dino Christenson | Social Media Algorithmic Filtering with Partisan Polarization |
| 128 | Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv and Changjie Fan | A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning |
| 130 | Siddharth Barman, Debajyoti Kar and Shraddha Pathak | Parameterized Guarantees for Almost Envy-Free Allocations |
| 137 | Sven Gronauer, Tom Haider, Felippe Schmoeller da Roza and Klaus Diepold | Reinforcement Learning with Ensemble Model Predictive Safety Certification |
| 139 | Natasa Bolic, Tommaso Cesari and Roberto Colomboni | An Online Learning Theory of Brokerage |
| 144 | Salil Gokhale, Samarth Singla, Shivika Narang and Rohit Vaish | Capacity Modification in the Stable Matching Problem |
| 145 | Martin Bullinger, Rohith Reddy Gangam and Parnian Shahkar | Robust Popular Matchings |
| 153 | Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang and Jiangjin Yin | PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning |
| 161 | Alexander Lam, Haris Aziz, Bo Li, Fahimeh Ramezani and Toby Walsh | Proportional Fairness in Obnoxious Facility Location |
| 169 | Laurent Gourves and Gianpiero Monaco | Nash Stability in Hedonic Skill Games |
| 176 | Aamal Hussain, Dan Leonte, Francesco Belardinelli and Georgios Piliouras | On the Stability of Learning in Network Games with Many Players |
| 178 | Rangeet Bhattacharyya, Parvik Dave, Palash Dey and Swaprava Nath | Optimal Referral Auction Design |
| 179 | Jiajun Chai, Yuqian Fu, Dongbin Zhao and Yuanheng Zhu | Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination |
| 181 | Matthias Köppe, Martin Koutecký, Krzysztof Sornat and Nimrod Talmon | Fine-Grained Liquid Democracy for Cumulative Ballots |
| 186 | Siqi Liu, Luke Marris, Marc Lanctot, Georgios Piliouras, Joel Leibo and Nicolas Heess | Neural Population Learning beyond Symmetric Zero-Sum Games |
| 188 | Michael Oesterle, Tim Grams, Christian Bartelt and Heiner Stuckenschmidt | RAISE the Bar: Restriction of Action Spaces for Improved Social Welfare and Equity in Traffic Management |
| 204 | Georgios Amanatidis, Aris Filos-Ratsikas, Philip Lazos, Evangelos Markakis and Georgios Papasotiropoulos | On the Potential and Limitations of Proxy Voting: Delegation with Incomplete Votes |
| 207 | Sheelabhadra Dey, James Ault and Guni Sharon | Continual Optimistic Initialization for Value-Based Reinforcement Learning |
| 208 | Ying Wang, Houyu Zhou and Minming Li | Positive Intra-Group Externalities in Facility Location |
| 211 | Tatsuya Iwase, Aurélie Beynier, Nicolas Bredeche, Nicolas Maudet and Jason Marden | Is Limited Information Enough? An Approximate Multi-agent Coverage Control in Non-Convex Discrete Environments |
| 214 | Jijia Liu, Chao Yu, Jiaxuan Gao, Yuqing Xie, Qingmin Liao, Yi Wu and Yu Wang | LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination |
| 216 | Zihao Li, Shengxin Liu, Xinhang Lu, Biaoshuai Tao and Yichen Tao | A Complete Landscape for the Price of Envy-Freeness |
| 223 | Jonas Karge, Juliette-Michelle Burkhardt, Sebastian Rudolph and Dominik Rusovac | To Lead or to be Led: A Generalized Condorcet Jury Theorem under Dependence |
| 227 | Matteo Castiglioni, Alberto Latino, Alberto Marchesi, Giulia Romano, Nicola Gatti and Chokha Palayamkottai | Finding Effective Ad Allocations: How to Exploit User History |
| 229 | Davide Dell’Anna, Pradeep K. Murukannaiah, Bernd Dudzik, Davide Grossi, Catholijn M. Jonker, Catharine Oertel and Pinar Yolum | Toward a Quality Model for Hybrid Intelligence Teams |
| 232 | Qihui Feng and Gerhard Lakemeyer | Probabilistic Multi-agent Only-Believing |
| 234 | Mikayel Samvelyan, Davide Paglieri, Minqi Jiang, Jack Parker-Holder and Tim Rocktäschel | Multi-Agent Diagnostics for Robustness via Illuminated Diversity |
| 236 | Michael Bernreiter, Jan Maly, Oliviero Nardi and Stefan Woltran | Combining Voting and Abstract Argumentation to Understand Online Discussions |
| 237 | Mengwei Xu, Louise Dennis and Mustafa A. Mustafa | Safeguard Privacy for Minimal Data Collection with Trustworthy Autonomous Agents |
| 242 | Jiaming Lu, Jingqing Ruan, Haoyuan Jiang, Ziyue Li, Hangyu Mao and Rui Zhao | DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge |
| 245 | Tobias Friedrich, Andreas Göbel, Nicolas Klodt, Martin S. Krejca and Marcus Pappik | From Market Saturation to Social Reinforcement: Understanding the Impact of Non-Linearity in Information Diffusion Models |
| 246 | Giorgio Angelotti, Caroline Ponzoni Carvalho Chanel, Adam Henrique Moreira Pinto, Christophe Lounis, Corentin Chauffaut and Nicolas Drougard | Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming |
| 247 | Filip Úradník, David Sychrovský, Jakub Černý and Martin Černý | Reducing Optimism Bias in Incomplete Cooperative Games |
| 250 | Ioannis Caragiannis, Kristoffer Arnsfelt Hansen and Nidhi Rathi | On the complexity of Pareto-optimal and envy-free lotteries |
| 251 | Daxin Liu and Vaishak Belle | Progression with probabilities in the situation calculus: representation and succinctness |
| 252 | Rati Devidze, Parameswaran Kamalaruban and Adish Singla | Informativeness of Reward Functions in Reinforcement Learning |
| 253 | Jannis Weil, Zhenghua Bao, Osama Abboud and Tobias Meuser | Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs with Recurrent Message Passing |
| 254 | Vitaliy Dolgorukov, Rustam Galimullin and Maksim Gladyshev | Dynamic Epistemic Logic of Resource Bounded Information Mining Agents |
| 265 | Tesfay Zemuy Gebrekidan, Sebastian Stein and Timothy Norman | Deep Reinforcement Learning with Coalition Action Selection for Online Combinatorial Resource Allocation with Arbitrary Action Space |
| 267 | Chaeeun Han, Jose Paolo Talusan, Dan Freudberg, Ayan Mukhopadhyay, Abhishek Dubey and Aron Laszka | Forecasting and Mitigating Disruptions in Public Bus Transit Services |
| 271 | Daniel Bairamian, Philippe Marcotte, Joshua Romoff, Gabriel Robert and Derek Nowrouzezahrai | Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play |
| 274 | Alexandre Ichida, Felipe Meneguzzi and Rafael Cardoso | BDI Agents in Natural Language Environments |
| 275 | Yongzhao Wang and Michael Wellman | Generalized Response Objectives for Strategy Exploration in Empirical Game-Theoretic Analysis |
| 279 | David Hyland, Julian Gutierrez, Krishna Shankaranarayanan and Michael Wooldridge | Rational Verification with Quantitative Probabilistic Goals |
| 289 | Zhiqiang Zhuang, Kewen Wang, Zhe Wang, Junhu Wang and Yinong Yang | Maximising the Influence of Temporary Participants in Opinion Formation |
| 292 | Qidong Liu, Chaoyue Liu, Shaoyao Niu, Cheng Long, Jie Zhang and Mingliang Xu | 2D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem |
| 293 | Junqi Jiang, Francesco Leofante, Antonio Rago and Francesca Toni | Recourse under Model Multiplicity via Argumentative Ensembling |
| 294 | Aleksei Kondratev and Egor Ianovski | The Proportional Veto Principle in Preference Aggregation |
| 295 | Pragnya Alatur, Giorgia Ramponi, Niao He and Andreas Krause | Provably Learning Nash Policies in Constrained Markov Potential Games |
| 300 | Chen Cheng and Jinglai Li | ODEs learn to walk: ODE-Net based data-driven modeling for crowd dynamics |
| 304 | Subham Pokhriyal, Shweta Jain, Ganesh Ghalme, Swapnil Dhamal and Sujit Gujar | Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits |
| 306 | Sankarshan Damle, Manisha Padala and Sujit Gujar | Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchains |
| 310 | Joel Dyer, Arnau Quera-Bofarull, Nicholas Bishop, J. Doyne Farmer, Anisoara Calinescu and Michael Wooldridge | Population synthesis as scenario generation for simulation-based planning under uncertainty |
| 311 | Davide Catta, Jean Leneutre, Vadim Malvone and Aniello Murano | Obstruction Alternating-time Temporal Logic: a Strategic Logic to Reason about Dynamic Models |
| 318 | Xinyu Tang, Hongtao Lv, Yingjie Gao, Fan Wu, Lei Liu and Lizhen Cui | Towards Efficient Auction Design with ROI Constraints |
| 319 | Yudong Hu, Congying Han, Tiande Guo and Hao Xiao | Applying Opponent Modeling for Automatic Bidding in Online Repeated Auctions |
| 320 | Haozhe Ma, Thanh Vinh Vo and Tze-Yun Leong | Mixed-Initiative Bayesian Sub-Goal Optimization in Hierarchical Reinforcement Learning |
| 325 | Sanket Shah, Arun Suggala, Milind Tambe and Aparna Taneja | Efficient Public Health Intervention Planning Using Decomposition-Based Decision-focused Learning |
| 326 | Qian Lin, Chao Yu, Zongkai Liu and Zifan Wu | Policy-regularized Offline Multi-objective Reinforcement Learning |
| 346 | Matej Jusup, Barna Pásztor, Tadeusz Janik, Kenan Zhang, Francesco Corman, Andreas Krause and Ilija Bogunovic | Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning |
| 347 | Sangwon Seo and Vaibhav V Unhelkar | IDIL: Imitation Learning of Intent-Driven Expert Behavior |
| 350 | Chikadibia Ihejimba and Rym Z. Wenkstern | A Cloud-Based Microservices Solution for Multi-Agent Traffic Control Systems |
| 363 | Sebastian Rodriguez, John Thangarajah and Andrew Davey | Design Patterns for Explainable Agents (XAg) |
| 365 | Ahad N. Zehmakan | Majority-based Preference Diffusion on Social Networks |
| 367 | Tong Niu, Weihao Zhang and Rong Zhao | Solution-oriented Agent-based Models Generation with Verifier-assisted Iterative In-context Learning |
| 369 | Saaduddin Mahmud, Marcell Vazquez-Chanlatte, Stefan Witwicki and Shlomo Zilberstein | Explaining the Behavior of POMDP-based Agents Through the Impact of Counterfactual Information |
| 380 | Benjamin Patrick Evans and Sumitra Ganesh | Learning and calibrating heterogeneous bounded rational market behaviour with multi-agent reinforcement learning |
| 384 | Ninell Oldenburg and Tan Zhi-Xuan | Learning and Sustaining Shared Normative Systems via Bayesian Rule Induction in Markov Games |
| 387 | Kefan Su, Siyuan Zhou, Jiechuan Jiang, Gan Chuang, Xiangjun Wang and Zongqing Lu | Multi-Agent Alternate Q-Learning |
| 388 | Marc Serramia, Natalia Criado and Michael Luck | Multi-user norm consensus |
| 390 | Nico Potyka, Yuqicheng Zhu, Yunjie He, Evgeny Kharlamov and Steffen Staab | Robust Knowledge Extraction from Large Language Models using Social Choice Theory |
| 397 | Shaojie Bai, Dongxia Wang, Tim Muller, Peng Cheng and Jiming Chen | Stability of Weighted Majority Voting under Estimated Weights |
| 399 | Yixuan Li, Weiyi Xu, Yanchen Deng, Weiwei Wu and Wanyuan Wang | Factor Graph Neural Network Meets Max-Sum: A Real-Time Route Planning Algorithm for Massive-Scale Trips |
| 401 | Yuhui Chen, Haoran Li and Dongbin Zhao | Boosting Continuous Control with Consistency Policy |
| 405 | Haruyuki Nakagawa, Yoshitaka Miyatani and Asako Kanezaki | Linking Vision and Multi-Agent Communication through Visible Light Communication using Event Cameras |
| 409 | Gergely Csáji | A Simple 1.5-approximation Algorithm for a Wide Range of Maximum Size Stable Matching Problems |
| 413 | Soumyabrata Pal, Milind Tambe, Arun Suggala, Karthikeyan Shanmugam and Aparna Taneja | Improving Mobile Maternal and Child Health Care Programs: Collaborative Bandits for Time slot selection |
| 414 | Sz-Ting Tzeng, Nirav Ajmeri and Munindar P. Singh | Norm Enforcement with a Soft Touch: Faster Emergence, Happier Agents |
| 415 | Cheuk Chi Kitty Fung, Qizhen Zhang, Chris Lu, Jia Wan, Timon Willi and Jakob Foerster | Analysing the Sample Complexity of Opponent Shaping |
| 420 | Ziqi Liu and Laurence Liu | GraphSAID: Graph Sampling via Attention based Integer Programming Method |
| 423 | Zhaoxing Yang, Haiming Jin, Yao Tang and Guiyun Fan | Risk-Aware Constrained Reinforcement Learning with Non-Stationary Policies |
| 427 | Amy Fang and Hadas Kress-Gazit | High-Level, Collaborative Task Planning Grammar and Execution for Heterogeneous Agents |
| 434 | Zewen Yang, Xiaobing Dai, Akshat Dubey, Sandra Bütow, Sandra Hirche and Georges Hattab | Whom to Trust? Elective Learning for Distributed Gaussian Process Regression |
| 436 | Dayang Liang, Yaru Zhang and Yunlong Liu | Episodic Reinforcement Learning with Expanded State-reward Space |
| 437 | Akbir Khan, Timon Willi, Newton Kwan, Andrea Tacchetti, Chris Lu, Edward Grefenstette, Tim Rocktäschel and Jakob Nicolaus Foerster | Scaling Opponent Shaping to High Dimensional Games |
| 453 | Benjamin Newman, Chris Paxton, Kris Kitani and Henny Admoni | Bootstrapping Linear Models for Fast Online Adaptation in Human-Agent Collaboration |
| 454 | Gennaro Auricchio, Jie Zhang and Mengxiao Zhang | Extended Ranking Mechanisms for the $m$-Capacitated Facility Location Problem in Bayesian Mechanism Design |
| 458 | Kalle Kujanpää, Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin and Joni Pajarinen | Continuous Monte Carlo Graph Search |
| 464 | Ankang Sun and Bo Li | Allocating contiguous blocks of indivisible chores fairly revisited |
| 468 | Eric Roslin Wete Poaka, Joel Greenyer, Daniel Kudenko and Wolfgang Nejdl | Multi-Robot Motion and Task Planning in Automotive Production Using Controller-based Safe Reinforcement Learning |
| 470 | Hung Le, Kien Do, Dung Nguyen and Svetha Venkatesh | Beyond Surprise: Improving Exploration Through Surprise Novelty |
| 477 | Linas Nasvytis, Kai Sandbrink, Jakob Foerster, Tim Franzmeyer and Christian Schroeder de Witt | Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection |
| 481 | Shuwa Miura and Shlomo Zilberstein | Observer-Aware Planning with Implicit and Explicit Communication |
| 485 | Hairi, Zifan Zhang and Jia Liu | Sample and Communication Efficient Fully Decentralized MARL Policy Evaluation via a New Approach: Local TD update |
| 488 | Zhicheng Zhang, Yancheng Liang, Yi Wu and Fei Fang | MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure |
| 489 | Taha Eghtesad, Sirui Li, Yevgeniy Vorobeychik and Aron Laszka | Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks |
| 494 | Matheus Aparecido Do Carmo Alves, Amokh Varma, Yehia Elkhatib and Leandro Soriano Marcolino | It Is Among Us: Identifying Adversaries in Ad-hoc Domains Using Q-valued Bayesian Estimations |
| 498 | Lu Li, Jiafei Lyu, Guozheng Ma, Zilin Wang, Zhenjie Yang, Xiu Li and Zhiheng Li | Normalization Enhances Generalization in Visual Reinforcement Learning |
| 500 | Yaoxin Ge, Yao Zhang, Dengji Zhao, Zhihao Gavin Tang, Hu Fu and Pinyan Lu | Incentives for Early Arrival in Cooperative Games |
| 503 | Xinran Li and Jun Zhang | Context-aware Communication For Multi-agent Reinforcement Learning |
| 505 | Weiqin Chen, James Onyejizu, Long Vu, Lan Hoang, Dharmashankar Subramanian, Koushik Kar, Sandipan Mishra and Santiago Paternain | Adaptive Primal-Dual Method for Safe Reinforcement Learning |
| 507 | Simone Parisi, Montaser Mohammedalamen, Alireza Kazemipour, Matthew Taylor and Michael Bowling | Monitored Markov Decision Processes |
| 513 | Yu He, Alexander Lam and Minming Li | Facility Location Games with Scaling Effects |
| 518 | Nikhil Singh and Indranil Saha | Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique Experiences |
| 523 | Mingyue Zhang, Nianyu Li, Jialong Li, Jiachun Liao and Jiamou Liu | Memory-Based Resilient Control Against Non-cooperation in Multi-agent Flocking |
| 533 | Cong Guan, Ruiqi Xue, Ziqian Zhang, Lihe Li, Yichen Li, Lei Yuan and Yang Yu | Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation |
| 537 | Gauri Gupta, Ritvik Kapila, Ayush Chopra and Ramesh Raskar | First 100 days of pandemic; an interplay of pharmaceutical, behavioral and digital interventions – A study using agent based modeling |
| 545 | Aditya Shinde and Prashant Doshi | Modeling Cognitive Biases in Decision-Theoretic Planning for Active Cyber Deception |
| 547 | Pooja Kulkarni, Rucha Kulkarni and Ruta Mehta | Approximating APS Under Submodular and XOS Valuations with Binary Marginals |
| 558 | Daniel Koyfman, Shahaf Shperberg, Dor Atzmon and Ariel Felner | Minimizing State Exploration While Searching Graphs with Unknown Obstacles |
| 560 | Shahaf Shperberg, Bo Liu and Peter Stone | Relaxed Exploration Constrained Reinforcement Learning |
| 562 | Otto Kuusela and Debraj Roy | Higher order reasoning under intent uncertainty reinforces the Hobbesian Trap |
| 564 | Mattia Chiari, Alfonso Emilio Gerevini, Andrea Loreggia, Luca Putelli and Ivan Serina | Fast and Slow Goal Recognition |
| 571 | Nusrath Jahan and Johnathan Mell | Unraveling the Tapestry of Deception and Personality: A Deep Dive into Multi-Issue Human-Agent Negotiation Dynamics |
| 575 | Thomas Archbold, Bart de Keijzer and Carmine Ventre | Willy Wonka Mechanisms |
| 576 | Gabriel Ballot, Vadim Malvone, Jean Leneutre and Youssef Laarouchi | Strategic reasoning under capacity-constrained agents |
| 588 | Andreas Sauter, Nicolò Botteghi, Erman Acar and Aske Plaat | CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning |
| 589 | Nicole Orzan, Erman Acar, Davide Grossi and Roxana Rădulescu | Emergent Cooperation under Uncertain Incentive Alignment |
| 592 | Alba Aguilera, Nieves Montes, Georgina Curto, Carles Sierra and Nardine Osman | Can poverty be reduced by acting on discrimination? An agent-based model for policy making |
| 600 | Nicos Protopapas, Vahid Yazdanpanah, Enrico Gerding and Sebastian Stein | Online Decentralised mechanisms for dynamic ridesharing |
| 601 | Bo Li, Ankang Sun and Shiji Xing | Bounding the Incentive Ratio of the Probabilistic Serial Rule |
| 608 | Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson and Yoram Bachrach | Approximating the Core via Iterative Coalition Sampling |
| 617 | Marc Serramia, Maite Lopez-Sanchez, Juan Antonio Rodriguez Aguilar and Stefano Moretti | Value alignment in participatory budgeting |
| 626 | Ruifeng Chen, Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Feng Xu and Yang Yu | Foresight Distribution Adjustment for Off-policy Reinforcement Learning |
| 638 | Moritz Graf, Thorsten Engesser and Bernhard Nebel | Symbolic Computation of Sequential Equilibria |
| 640 | Yashovardhan S. Chati, Ramasubramanian Suriyanarayanan and Arunchandar Vasan | Think Global, Act Local – Agent-Based Inline Recovery for Airline Operations |
| 650 | Yongxin Xu, Shangshang Wang, Hengquan Guo, Xin Liu and Ziyu Shao | Learning to Schedule Online Tasks with Bandit Feedback |
| 652 | Pengdeng Li, Shuxin Li, Xinrun Wang, Jakub Cerny, Youzhi Zhang, Stephen McAleer, Hau Chan and Bo An | Grasper: A Generalist Pursuer for Pursuit-Evasion Problems |
| 653 | Dmitry Chistikov, Luisa Fernanda Estrada Plata, Mike Paterson and Paolo Turrini | Learning a Social Network by Influencing Opinions |
| 654 | Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen and Stefano V. Albrecht | Causal Explanations for Sequential Decision-Making in Multi-Agent Systems |
| 655 | Hao Guo, Zhen Wang, Junliang Xing, Pin Tao and Yuanchun Shi | Cooperation and Coordination in Heterogeneous Populations with Interaction Diversity |
| 657 | Tianyi Hu, Zhiqiang Pu, Xiaolin Ai, Tenghai Qiu and Jianqiang Yi | Measuring Policy Distance for Multi-Agent Reinforcement Learning |
| 660 | Francis Rhys Ward, Matt MacDermott, Francesco Belardinelli, Francesca Toni and Tom Everitt | The Reasons that Agents Act: Intention and Instrumental Goals |
| 669 | Yibin Yang, Mingfeng Fan, Chengyang He, Jianqiang Wang, Heye Huang and Guillaume Sartoretti | Attention-based Priority Learning for Limited Time Multi-Agent Path Finding |
| 671 | Yaoxin Wu, Mingfeng Fan, Zhiguang Cao, Ruobin Gao, Yaqing Hou and Guillaume Sartoretti | Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems |
| 682 | Francesco Belardinelli, Wojtek Jamroga, Munyque Mittelmann and Aniello Murano | Verification of Stochastic Multi-Agent Systems with Forgetful Strategies |
| 686 | Wojtek Jamroga, Munyque Mittelmann, Aniello Murano and Giuseppe Perelli | Playing Quantitative Games Against an Authority: On the Module Checking Problem |
| 687 | Nardine Osman and Mark d’Inverno | A Computational Framework of Human Values |
| 695 | Nemanja Antonic, Raina Zakir, Marco Dorigo and Andreagiovanni Reina | Collective robustness of heterogeneous decision-makers against stubborn individuals |
| 704 | Chao Chen, Dawei Wang, Feng Mao, Jiacheng Xu, Zongzhang Zhang and Yang Yu | Deep Anomaly Detection via Active Anomaly Search |
| 710 | Xiaoqiang Wu, Qingling Zhu, Qiuzhen Lin, Weineng Chen and Jianqiang Li | Adaptive Evolutionary Reinforcement Learning Algorithm with Early Termination Strategy |
| 715 | Chin-Wing Leung and Paolo Turrini | Learning Partner Selection Rules that Sustain Cooperation in Social Dilemmas with the Option of Opting Out |
| 716 | Robert Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski and Frans Oliehoek | Uncoupled Learning of Differential Stackelberg Equilibria with Commitments |
| 718 | Panagiotis Lymperopoulos and Matthias Scheutz | Oh, Now I See What You Want: Learning Agent Models with Internal States from Observations |
| 723 | Evan Albers, Mohammad Irfan and Matthew Bosch | Beliefs, Shocks, and the Emergence of Roles in Asset Markets: An Agent-Based Modeling Approach |
| 730 | Xinpeng Lu, Song Heng, Huailing Ma and Junwu Zhu | A Task-Driven Multi-UAV Coalition Formation Mechanism |
| 733 | Said Jabbour, Yue Ma and Badran Raddaoui | Towards a Principle-based Framework for Repair Selection in Inconsistent Knowledge Bases |
| 735 | Farnoud Ghasemi and Rafał Kucharski | Modelling the Rise and Fall of Two-sided Markets |
| 741 | Kipp Freud, Nathan Lepora, Matt Jones and Cian O’Donnell | BrainSLAM: SLAM on Neural Population Activity Data |
| 747 | Grant Forbes, Nitish Gupta, Leonardo Villalobos-Arias, David Roberts, Colin Potts and Arnav Jhala | Potential-Based Reward Shaping for Intrinsic Motivation |
| 755 | Daniel Garces and Stephanie Gil | Surge Routing: Event-informed Multiagent Reinforcement Learning for Autonomous Rideshare |
| 756 | Yucheng Yang, Tianyi Zhou, Lei Han, Meng Fang and Mykola Pechenizkiy | Automatic Curriculum for Unsupervised Reinforcement Learning |
| 760 | Baiting Luo, Yunuo Zhang, Abhishek Dubey and Ayan Mukhopadhyay | Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes |
| 765 | Arti Bandhana, Tomáš Kroupa and Sebastian Garcia | Trust in Shapley: A Cooperative Quest for Global Trust in P2P Network |
| 770 | James Bailey and Craig Tovey | Impact of Tie-Breaking on the Manipulability of Elections |
| 781 | Oz Kilic and Alan Tsang | Catfished! Impacts of Strategic Misrepresentation in Online Dating |
| 782 | Elliot Fosong, Muhammad Arrasy Rahman, Ignacio Carlucho and Stefano Albrecht | Learning Complex Teamwork Tasks using a Given Sub-task Decomposition |
| 791 | Turgay Caglar and Sarath Sreedharan | HELP! Providing Proactive Support in the Presence of Knowledge Asymmetry |
| 797 | Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu and Long Tran-Thanh | Attacking Multi-Player Bandits and How to Robustify Them |
| 802 | Mathieu Reymond, Eugenio Bargiacchi, Diederik M. Roijers and Ann Nowé | Interactively learning the user’s utility for best-arm identification in multi-objective multi-armed bandits |
| 813 | Jamison Weber, Dhanush Giriyan, Devendra Parkar, Dimitri Bertsekas and Andrea Richa | Distributed Online Rollout for Multivehicle Routing in Unmapped Environments |
| 826 | Łukasz Janeczko, Jérôme Lang, Grzegorz Lisowski and Stanisław Szufa | Discovering Consistent Subelections |
| 836 | Hannes Eriksson, Tommy Tram, Debabrota Basu, Mina Alibeigi and Christos Dimitrakakis | Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer |
| 839 | Alessandro Carminati, Davide Azzalini, Simone Vantini and Francesco Amigoni | A Distributed Approach for Fault Detection in Swarms of Robots |
| 848 | Swapna Thorve, Henning Mortveit, Anil Kumar Vullikanti, Madhav Marathe and Samarth Swarup | Assessing fairness of residential dynamic pricing for electricity using active learning with agent-based simulation |
| 849 | Zakaria Mehrab, Logan Stundal, Samarth Swarup, Srinivasan Venaktramanan, Bryan Lewis, Henning S. Mortveit, Christopher L. Barrett, Abhishek Pandey, Chad R. Wells, Alison P. Galvani, Burton H. Singer, David A. Leblang, Rita R. Colwell and Madhav Marathe | Network Agency: An Agent-based Model of Forced Migration from Ukraine |
| 851 | Haoxiang Ma, Chongyang Shi, Shuo Han, Michael Dorothy and Jie Fu | Covert Planning aganist Imperfect Observers |
| 858 | Stefan Sarkadi and Peter Lewis | The Triangles of Dishonesty: Modelling the Evolution of Lies, Bullshit, and Deception in Agent Societies |
| 862 | Abhijin Adiga, Yohai Trabelsi, Tanvir Ferdousi, Madhav Marathe, S. S. Ravi, Samarth Swarup, Anil Kumar Vullikanti, Mandy Wilson, Sarit Kraus, Reetwika Basu, Supriya Savalkar, Matthew Yourek, Michael Brady, Kirti Rajagopalan and Jonathan Yoder | Value-based Resource Matching with Fairness Criteria: Application to Agricultural Water Trading |
| 879 | Clarissa Costen, Anna Gautier, Nick Hawes and Bruno Lacerda | Multi-Robot Allocation of Assistance from a Shared Uncertain Operator |
| 889 | Soroush Ebadian, Aris Filos-Ratsikas, Mohamad Latifian and Nisarg Shah | Computational Aspects of Distortion |
| 893 | Michela Meister and Jon Kleinberg | Containing the spread of a contagion on a tree |
| 899 | Benedetta Flammini, Davide Azzalini and Francesco Amigoni | Preventing Deadlocks for Multi-Agent Pickup and Delivery in Dynamic Environments |
| 909 | Chin-Wing Leung, Shuyue Hu and Ho-fung Leung | The Stochastic Evolutionary Dynamics of Softmax Policy Gradient in Games |
| 920 | Jack Dippel, Max Dupre la Tour, April Niu, Sanjukta Roy and Adrian Vetta | Gerrymandering Planar Graphs |
| 923 | Shivam Goel, Yichen Wei, Panagiotis Lymperopoulos, Klára Churá, Matthias Scheutz and Jivko Sinapov | NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds |
| 926 | Eura Shin, Siddharth Swaroop, Weiwei Pan, Susan Murphy and Finale Doshi-Velez | Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks |
| 927 | Yan Song, Jiang He, Haifeng Zhang, Zheng Tian, Weinan Zhang and Jun Wang | Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future |
| 929 | Zhaobin Mo, Yongjie Fu and Xuan Di | PI-NeuGODE: Physics-Informed Graph Neural Ordinary Differential Equations for Spatiotemporal Trajectory Prediction |
| 933 | Ahmad Esmaeili, Zahra Ghorrati and Eric Matson | Holonic Learning: A Flexible Agent-based Distributed Machine Learning Framework |
| 934 | Tran Cao Son, Loc Pham and Enrico Pontelli | On Dealing with False Beliefs and Maintaining KD45_n Property |
| 949 | Vade Shah and Jason Marden | Battlefield transfers in coalitional Blotto games |
| 952 | Antigoni Polychroniadou, Gabriele Ciprianni, Richard Hua and Tucker Balch | Atlas-X Equity Financing: Unlocking New Methods to Securely Obfuscate Axe Inventory Data Based on Differential Privacy |
| 953 | Thomy Phan, Joseph Driscoll, Justin Romberg and Sven Koenig | Confidence-Based Curriculum Learning for Multi-Agent Path Finding |
| 958 | Aravind Venugopal, Stephanie Milani, Fei Fang and Balaraman Ravindran | MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning |
| 971 | Sami Abuhaimed and Sandip Sen | Team Performance and User Satisfaction in Mixed Human-Agent Teams |
| 977 | Yash Shukla, Wenchang Gao, Vasanth Sarathy, Alvaro Velasquez, Robert Wright and Jivko Sinapov | LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents |
| 986 | Hadi Hosseini, Andrew McGregor, Rik Sengupta, Rohit Vaish and Vignesh Viswanathan | Tight Approximations for Graphical House Allocation |
| 988 | Arambam James Singh and Arvind Easwaran | PAS: Probably Approximate Safety Verification of Reinforcement Learning Policy Using Scenario Optimization |
| 991 | Nathaniel Sauerberg and Caspar Oesterheld | Computing Optimal Commitments to Strategies and Outcome-Conditional Utility Transfers |
| 995 | Manisha Natarajan, Chunyue Xue, Sanne van Waveren, Karen Feigh and Matthew Gombolay | Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation |
| 1004 | Chenyuan Zhang, Charles Kemp and Nir Lipovetzky | Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability |
| 1011 | Tan Zhi-Xuan, Lance Ying, Vikash Mansinghka and Joshua Tenenbaum | Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning |
| 1021 | Linh Le Pham Van, Hung Tran-The and Sunil Gupta | Policy Learning for Off-Dynamics RL with Deficient Support |
| 1025 | Xiaoliang Wu, Qilong Feng, Ziyun Huang, Jinhui Xu and Jianxin Wang | New Algorithms for Distributed Fair k-Center Clustering: Almost Accurate as Sequential Algorithms |
| 1037 | Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang and Yang Yu | Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation |
| 1042 | Jiazhu Fang and Wenjing Liu | Facility Location Games with Fractional preferences and Limited Resources |
| 1045 | Batuhan Yardim, Artur Goldman and Niao He | When is Mean-Field Reinforcement Learning Tractable and Relevant? |
| 1050 | Grzegorz Pierczyński and Stanisław Szufa | Single-Winner Voting with Alliances: Avoiding the Spoiler Effect |
| 1057 | Raven Beutner, Bernd Finkbeiner, Hadar Frenkel and Niklas Metzger | Monitoring Second-Order Hyperproperties |
| 1061 | Nasik Muhammad Nafi, Raja Farrukh Ali, William Hsu, Kevin Duong and Mason Vick | Policy Optimization using Horizon Regularized Advantage to Improve Generalization in Reinforcement Learning |
| 1069 | Danai Vachtsevanou, Bruno de Lima, Andrei Ciortea, Jomi Fred Hubner, Simon Mayer and Jérémy Lemée | Enabling BDI Agents to Reason on a Dynamic Action Repertoire in Hypermedia Environments |
| 1076 | Vittorio Bilo, Michele Flammini, Gianpiero Monaco, Luca Moscardelli and Cosimo Vinci | On Green Sustainability of Resource Selection Games with Equitable Cost-Sharing |
| 1121 | Philip Jordan, Florian Grötschla, Fan Flint Xiaofeng and Roger Wattenhofer | Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence |