Extended Abstracts

ID Authors Title
3 Kenjiro Takazawa Pure Nash Equilibria in Weighted Congestion Games with Complementarities and Beyond
8 David Milec, Ondřej Kubíček and Viliam Lisy Continual Depth-limited Responses for Computing Counter-strategies in Sequential Games
12 Haipeng Zhang, Zhiwen Wang and Na Li MATLight: Traffic Signal Coordinated Control Algorithm Based on Heterogeneous-Agent Mirror Learning With Transformer
13 Ben Armstrong and Kate Larson Liquid Democracy for Low-Cost Ensemble Pruning
14 Abhijat Biswas, Badal Arun Pardhi, Caleb Chuck, Jarrett Holtz, Scott Niekum, Henny Admoni and Alessandro Allievi Gaze Supervision for Mitigating Causal Confusion in Driving Agents
21 Ram Rachum, Yonatan Nakar, Bill Tomlinson, Nitay Alon and Reuth Mirsky Emergent Dominance Hierarchies in Reinforcement Learning Agents
32 Mathieu Mari, Michał Pawłowski, Runtian Ren and Piotr Sankowski Multi-level aggregation with delays and stochastic arrivals
41 Alexander W. Goodall and Francesco Belardinelli Leveraging Approximate Model-based Shielding for Probabilistic Safety Guarantees in Continuous Environments
50 Kazi Ashik Islam, Da Qi Chen, Madhav Marathe, Henning Mortveit, Samarth Swarup and Anil Vullikanti Strategic Routing and Scheduling for Evacuations
67 Daniel Melcer, Christopher Amato and Stavros Tripakis Shield Decentralization for Safe Reinforcement Learning in General Partially Observable Multi-Agent Environments
77 Thayne T. Walker, Nathan Sturtevant and Ariel Felner Clique Analysis and Bypassing in Continuous-Time Conflict-Based Search
85 Jiafei Lyu, Le Wan, Xiu Li and Zongqing Lu Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning
94 Dave de Jonge and Laura Rodriguez Cima Attila: a Negotiating Agent for the Game of Diplomacy, Based on Purely Symbolic A.I.
107 Dapeng Li, Zhiwei Xu, Bin Zhang, Guangchong Zhou, Zeren Zhang and Guoliang Fan From Explicit Communication to Tacit Cooperation: A Novel Paradigm for Cooperative MARL
108 Pankaj Deoli, Rohit Kumar, Axel Vierling and Karsten Berns Evaluation of Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric Study
113 Glareh Mir and Michael Beetz Simulated Robotic Soft Body Manipulation
114 Yu Niu, Hengxu Zhao and Lei Yu MA-MIX: Value Function Decomposition for Cooperative Multiagent Reinforcement Learning Based on Multi-Head Attention Mechanism
115 Ayşe Mutlu Derya A Comparison of the Myerson Value and the Position Value
117 Tamara C.P. Florijn, Pinar Yolum and Tim Baarslag A Negotiator’s Backup Plan: Optimal Concessions with a Reservation Value
140 Jérôme Botoko Ekila, Jens Nevens, Lara Verheyen, Katrien Beuls and Paul Van Eecke Decentralised Emergence of Robust and Adaptive Linguistic Conventions in Populations of Autonomous Agents Grounded in Continuous Worlds
142 Minghong Geng, Shubham Pateria, Budhitama Subagdja and Ah-Hwee Tan Benchmarking MARL on Long Horizon Sequential Multi-Objective Tasks
143 Yatharth Kumar, Sarfaraz Equbal, Rohit Gurjar, Swaprava Nath and Rohit Vaish Fair Scheduling of Indivisible Chores
152 Qitong Kang, Fuyong Wang, Zhongxin Liu and Zengqiang Chen TIMAT: Temporal Information Multi-Agent Transformer
154 Huihui Zhang Momentum-based Algorithm on Deep Reinforcement Learning
158 Yasushi Kawase, Bodhayan Roy and Mohammad Azharuddin Sanpui Contiguous Allocation of Binary Valued Indivisible Items on a Path
166 Nicolas Bessone, Payam Zahadat and Kasper Stoy Decentralized Control of Distributed Manipulators: An Information Diffusion Approach
175 Ramsundar Anandanarayanan, Swaprava Nath and Rohit Vaish Charging Electric Vehicles Fairly and Efficiently
180 Kaifeng Zhang, Rui Zhao, Ziming Zhang and Yang Gao Auto-Encoding Adversarial Imitation Learning
190 Mihail Stojanovski, Nadjet Bourdache, Grégory Bonnet and Mouaddib Abdel-Illah Ethical Markov Decision Processes with Moral Worth as Rewards
197 Emanuel Tewolde and Vincent Conitzer Game Transformations That Preserve Nash Equilibria or Best Response Sets
213 Yihong Chen, Cong Wang, Tianpei Yang, Meng Wang, Yingfeng Chen, Jifei Zhou, Chaoyi Zhao, Xinfeng Zhang, Zeng Zhao, Changjie Fan, Zhipeng Hu, Rong Xiong and Long Zeng Mastering Robot Control through Point-based Reinforcement Learning with Pre-training
215 Chenxu Wang, Zilong Chen and Huaping Liu On the Utility of External Agent Intention Predictor for Human-AI Coordination
219 Jean Marie Lagniez, Emmanuel Lonca and Jean-Guy Mailly A SAT-based Approach for Argumentation Dynamics
221 Yao Zhang, Shanshan Zheng and Dengji Zhao Optimal Diffusion Auctions
222 Erwan Escudie, Laetitia Matignon and Jacques Saraydaryan Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning
225 Pranavi Pathakota, Hardik Meisheri and Harshad Khadilkar DCT: Dual Channel Training of Action Embeddings for Reinforcement Learning with Large Discrete Action Spaces
226 Wenlong Wang and Thomas Pfeiffer Decision Market Based Learning For Multi-agent Contextual Bandit Problems
235 Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng and Zhaopeng Meng ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
238 Emre Erdogan, Rineke Verbrugge and Pinar Yolum Computational Theory of Mind with Abstractions for Effective Human-Agent Collaboration
239 Pedro P. Santos, Diogo Carvalho, Miguel Vasco, Alberto Sardinha, Pedro A. Santos, Ana Paiva and Francisco Melo Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning
241 Márton Benedek, Péter Biró, Gergely Csáji, Matthew Johnson, Daniël Paulusma and Xin Ye Computing Balanced Solutions for Large International Kidney Exchange Schemes When Cycle Length Is Unbounded
249 Yongsheng Mei, Hanhan Zhou and Tian Lan Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning
255 Maxime Toquebiau, Nicolas Bredeche, Faïz Ben Amar and Jae-Yun Jun Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
256 Saad Khan, Mayank Baranwal and Srikant Sukumar Decentralized Safe Control for Multi-Robot Navigation in Dynamic Environments with Limited Sensing
257 Rustam Galimullin and Louwe B. Kuijer Synthesizing social laws with ATL conditions
261 Sai Srivatsa Ravindranath, Zhe Feng, Shira Li, Jonathan Ma, Scott Kominers and David Parkes Deep Learning for Two-Sided Matching Markets
262 Tesfay Zemuy Gebrekidan, Sebastian Stein and Timothy Norman Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing
268 Alexander Mendelsohn, Donald Sofge and Michael Otte Enhancing Search and Rescue Capabilities in Hazardous Communication-Denied Environments through Path-Based Sensors with Backtracking
272 Ayhan Alp Aydeniz, Enrico Marchesini, Christopher Amato and Kagan Tumer Entropy Seeking Constrained Multiagent Reinforcement Learning
283 Everardo Gonzalez, Siddarth Viswanathan and Kagan Tumer Indirect Credit Assignment in a Multiagent System
290 Andrew Festa, Gaurav Dixit and Kagan Tumer Influence-Focused Asymmetric Island Model
298 Hao Zhang, Tianpei Yang, Yan Zheng, Jianye Hao and Matthew E. Taylor PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning
301 Joanna Kaczmarek and Jörg Rothe NP^PP-Completeness of Control by Adding Players to Change the Penrose–Banzhaf Power Index in Weighted Voting Games
305 Archit Sood, Shweta Jain and Sujit Gujar Fairness of Exposure in Online Restless Multi-armed Bandits
307 Sankarshan Damle and Sujit Gujar Analyzing Crowdfunding of Public Projects Under Dynamic Beliefs
312 Sankarshan Damle, Varul Srivastava and Sujit Gujar No Transaction Fees? No Problem! Achieving Fairness in Transaction Fee Mechanism Design
317 Varul Srivastava and Sujit Gujar Decent-BRM: Decentralization through Block Reward Mechanisms
321 Sambhav Solanki, Sujit Gujar and Shweta Jain Fairness and Privacy Guarantees in Federated Contextual Bandits
323 Zixuan Chen, Ze Ji, Shuyang Liu, Jing Huo, Yiyu Chen and Yang Gao Cognizing and Imitating Robotic Skills via a Dual Cognition-Action Architecture
335 Ashish Rana, Michael Oesterle and Jannik Brinkmann GOV-REK: Governed Reward Engineering Kernels for Designing Robust Multi-Agent Reinforcement Learning Systems
337 Jhih-Ching Yeh and Von-Wun Soo Toward Socially Friendly Autonomous Driving Using Multi-agent Deep Reinforcement Learning
343 Kazunori Terada, Yasuo Noma and Masanori Hattori Persuasion by Shaping Beliefs about Multidimensional Features of a Thing
348 Binghan Wu, Wei Bao and Bing Zhou Competitive Analysis of Online Facility Open Problem
351 Igor Kuznetsov Guided Exploration in Reinforcement Learning via Monte Carlo Critic Optimization
355 Xin Zhao, Jiaxin Li, Zhiwei Fang, Yuchen Guo, Jinyuan Zhao, Jie He, Wenlong Chen, Changping Peng and Guiguang Ding JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System
356 Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan and Bo An Reinforcement Nash Equilibrium Solver
357 Hao Yin, Fan Chen and Hongjie He Solving Offline 3D Bin Packing Problem with Large-sized Bin via Two-stage Deep Reinforcement Learning
362 Chen Wang, Sarah Erfani, Tansu Alpcan and Christopher Leckie Detecting Anomalous Agent Decision Sequences Based on Offline Imitation Learning
366 Khaing Phyo Wai, Minghong Geng, Shubham Pateria, Budhitama Subagdja and Ah-Hwee Tan Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Models
372 Junning Shao, Siwei Wang and Zhixuan Fang Balanced and Incentivized Learning with  Limited Shared Information in Multi-agent Multi-armed Bandit
417 Zifan Gong, Minming Li and Houyu Zhou Facility location games with task allocation
418 Jiarui Gan, Rupak Majumdar, Debmalya Mandal and Goran Radanovic Sequential principal-agent problems with communication: efficient computation and learning
428 Yael Sabato, Amos Azaria and Noam Hazon Source Detection in Networks using the Stationary Distribution of a Markov Chain
433 Saar Cohen and Noa Agmon Near-Optimal Online Resource Allocation in the Random-Order Model
447 Michael Tarlton, Gustavo Mello and Anis Yazidi Neurological Based Timing Mechanism for Reinforcement Learning
462 Stephen Cranefield, Sriashalya Srivathsan and Jeremy Pitt Inferring Lewisian common knowledge using theory of mind reasoning in a forward-chaining rule engine
463 Lukasz Pelcner, Matheus Do Carmo Alves, Leandro Soriano Marcolino, Paula Harrison and Peter Atkinson Incentive-based MARL Approach for Commons Dilemmas in Property-based Environments
474 Moumita Choudhury, Sandhya Saisubramanian, Hao Zhang and Shlomo Zilberstein Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination
478 Yu Quan Chong, Jiaoyang Li and Katia Sycara Optimal Task Assignment and Path Planning using Conflict-Based Search with Precedence and Temporal Constraints
479 Zida Wu, Mathieu Lauriere, Samuel Jia Cong Chua, Matthieu Geist, Olivier Pietquin and Ankur Mehta Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
480 Weibo Jiang, Shaohui Li, Zhi Li, Yuxin Ke, Zhizhuo Jiang, Yaowen Li and Yu Liu Dual-Policy-Guided Offline Reinforcement Learning with Optimal Stopping
492 Ridhima Bector, Abhay Aradhya, Chai Quek and Zinovi Rabinovich Adaptive Discounting of Training Time Attacks
497 Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv and Changjie Fan vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms
510 Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté and Bang Liu OPEx: A Large Language Model-Powered Framework for Embodied Instruction Following
528 Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park and Jiachen Li ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
543 Huijie Tang, Federico Berto, Zihan Ma, Chuanbo Hua, Kyuree Ahn and Jinkyoo Park HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding
548 Shiyao Zhang, Yuji Dong, Yichuan Zhang, Terry Payne and Jie Zhang Large Language Model Assissted Multi-Agent Dialogue for Ontology Alignment
552 Iosif Apostolakis, Zeynep G. Saribatur and Johannes P. Wallner Abstracting Assumptions in Structured Argumentation
554 Yirui Zhang and Zhixuan Fang Decentralized Competing Bandits in Many-to-One Matching Markets
555 Mauricio Diaz-Ortiz Jr, Benjamin Kempinski, Daphne Cornelisse, Yoram Bachrach and Tal Kachman Using Cooperative Game Theory to Prune Neural Networks
556 Nele Albers, Mark A. Neerincx and Willem-Paul Brinkman Reinforcement Learning for Proposing Smoking Cessation Activities that Build Competencies: Combining Two Worldviews
559 Pascal van der Vaart, Neil Yorke-Smith and Matthijs Spaan Bayesian Ensembles for Exploration in Deep Q-Learning
561 Jarod Vanderlynden, Philippe Mathieu and Romain Warlop Understanding the impact of promotions on consumer behavior
563 Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri, Yuta Toyama, Masaki Nakamura and Yuusuke Nakano Electric Vehicle Routing for Emergency Power Supply with Deep Reinforcement Learning
567 Amirreza Bagheridelouee, Marzie Nilipour, Masoud Seddighin and Maziar Shamsipour Metric Distortion Under Public-Spirited Voting
569 Megha Bose, Praveen Paruchuri and Akshat Kumar Factored MDP based Moving Target Defense with Dynamic Threat Modeling
573 Wentao Ye, Bo Liu, Yuan Luo and Jianwei Huang Dual Role AoI-based Incentive Mechanism for HD map Crowdsourcing
574 Karl Jochen Micheel and Anaëlle Wilczynski Fairness in Repeated House Allocation
579 Yangyang Zhao, Mehdi Dastani and Shihan Wang Bootstrapped Policy Learning: Goal Shaping for Efficient Task-oriented Dialogue Policy Learning
583 Jayden Teoh, Wenjun Li and Pradeep Varakantham Unifying Regret and State-Action Space Coverage for Effective Unsupervised Environment Design
593 Matthew Sheldon, Dario Paccagnan and Giuliano Casale Cournot Games for Closed Cournot Queueing Games with Applications to Mobility Systems Networks
595 Edith Elkind, Svetlana Obraztsova and Nicholas Teh Verifying Proportionality in Temporal Voting
599 Daniele Orner, Elizabeth Ondula, Nick Mumero and Richa Goyal Sentimental Agents: Combining Sentiment Analysis and Non-Bayesian Updating for Cooperative Decision-Making
616 Jayakrishnan Madathil, Neeldhara Misra and Yash More Opinion Diffusion on Society Graphs Based on Approval Ballots
621 Yongjie Yang On the Complexity of Candidates-Embedded Multiwinner Voting under the Hausdorff Function
630 Bin Chen and Zehong Cao HLG: Bridging Human Heuristic Knowledge and Deep Reinforcement Learning for Optimal Agent Performance
637 Jinyun Tong, Bart De Keijzer and Carmine Ventre Reducing Systemic Risk in Financial Networks through Donations
658 Piotr Faliszewski, Łukasz Janeczko, Andrzej Kaczmarczyk, Grzegorz Lisowski, Piotr Skowron and Stanisław Szufa Strategic Cost Selection in Participatory Budgeting
659 Alexandra Cimpean, Catholijn Jonker, Pieter Libin and Ann Nowé A Reinforcement Learning Framework For Studying Group And Individual Fairness
672 Timo Speith Unlocking the Potential of Machine Ethics with Explainability
677 Maxime Reynouard, Olga Gorelkina and Rida Laraki BAR Nash Equilibrium and Application to Blockchain Design
696 Somnath Hazra, Pallab Dasgupta and Soumyajit Dey Addressing Permutation Challenges in Multi-Agent Reinforcement Learning
702 Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja and Milind Tambe Towards Zero Shot Learning in Restless Multi-armed Bandits
708 Mohammad Irfan, Hau Chan and Jared Soundy Computing Nash Equilibria in Multidimensional Congestion Games
709 Alberto Olivares-Alarcos, Sergi Foix, Júlia Borràs, Gerard Canal and Guillem Alenyà Ontological modeling and reasoning for comparison and contrastive narration of robot plans
712 Yi Mao and Andrew Perrault Time-Constrained Restless Multi-Armed Bandits with Applications to City Service Scheduling
719 Peng Tang, Lifan Wang, Weidong Qiu, Zheng Huang and Qiangmin Wang Fuzzy Clustered Federated Learning Under Mixed Data Distributions
720 Hadi Hosseini, Joshua Kavner, Tomasz Wąs and Lirong Xia Distribution of Chores with Information Asymmetry
724 Siqi Chen, Jianing Zhao, Kai Zhao, Gerhard Weiss, Fengyun Zhang, Ran Su, Yang Dong, Daqian Li and Kaiyou Lei ANOTO: Improving Automated Negotiation via Offline-to-Online Reinforcement Learning
725 Stefan Roesch, Stefanos Leonardos and Yali Du The Selfishness Level of Social Dilemmas
727 Sheng Tian, Hong Shen, Yuan Tian and Hui Tian Consensus of Nonlinear Multi-Agent Systems with Semi-Markov Switching Under DoS Attacks
729 Sharlin Utke, Jeremie Houssineau and Giovanni Montana Embracing Relational Reasoning in Multi-Agent Actor-Critic
738 Gokce Dayanikli, Mathieu Lauriere and Jiacheng Zhang Deep Learning for Population-Dependent Controls in Mean Field Control Problems with Common Noise
744 Erin Richardson, Savannah Buchner, Jacob Kintz, Torin Clark and Allison Anderson Psychophysiological Models of Cognitive States Can Be Operator-Agnostic
749 Xianjie Zhang, Jiahao Sun, Chen Gong, Kai Wang, Yifei Cao, Hao Chen and Yu Liu Mutual Information as Intrinsic Reward of Reinforcement Learning Agents for On-demand Ride Pooling
757 Daji Landis and Nikolaj Ignatieff Schwartzbach Which Games are Unaffected by Absolute Commitments?
766 Viviana Arrigoni, Giulio Attenni, Novella Bartolini, Matteo Finelli and Gaia Maselli MiKe: Task Scheduling for UAV-based Parcel Delivery
768 Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schroeder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu and Jakob Foerster JaxMARL: Multi-Agent RL Environments in JAX
769 Jacobus Smit and Fernando Santos Fairness and Cooperation between Independent Reinforcement Learners through Indirect Reciprocity
773 Alessandro Aloisio, Vittorio Bilo, Antonio Mario Caruso, Michele Flammini and Cosimo Vinci Approximately Fair Allocation of Indivisible Items with Random Valuations
775 Michael Akintunde, Vahid Yazdanpanah, Asieh Salehi Fathabadi, Corina Cirstea, Mehdi Dastani and Luc Moreau Actual Trust in Multiagent Systems
776 Gianvincenzo Alfano, Sergio Greco, Francesco Parisi and Irina Trubitsyna General Epistemic Abstract Argumentation Framework: Semantics and Complexity
790 Rafael Pina, Varuna De Silva, Corentin Artaud and Xiaolan Liu Fully Independent Communication in Multi-Agent Reinforcement Learning
796 Chaitanya Kharyal, Sai Krishna Gottipati, Tanmay Sinha, Srijita Das and Matthew E. Taylor GLIDE-RL: Grounded Language Instruction through DEmonstration in RL
805 Youssef Hamadi and Gauthier Picard Towards Socially-Acceptable Multi-Criteria Resolution of the 4D-Contracts Repair Problem
810 Sam Williams and Jyotirmoy Deshmukh Potential Games on Cubic Splines for Multi-Agent Motion Planning of Autonomous Agents
814 Michael Y Fatemi, Wesley A Suttle and Brian M Sadler Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks
818 Jiehua Chen and William Zwicker Cutsets and EF1 Fair Division of Graphs
824 Hau Chan, Xinliang Fu, Minming Li and Chenhao Wang Mechanism Design for Reducing Agent Distances  to Prelocated Facilities
840 Matt Hare, Douglas Salt, Ric Colasanti, Richard Milton, Mike Batty, Alison Heppenstall and Gary Polhill Taking Agent-Based Social Simulation to the Next Level Using Exascale Computing: Potential Use-Cases, Capacity Requirements and Threats.
842 Binyu Zhao, Wei Zhang and Zhaonian Zou Distance-Aware Attentive Framework for Multi-Agent Collaborative Perception in Presence of Pose Error
845 Calarina Muslimani and Matthew Taylor Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
868 Gaël Gendron, Yang Chen, Mitchell Rogers, Yiping Liu, Mihailo Azhar, Shahrokh Heidari, David Arturo Soriano Valdez, Kobe Knowles, Padriac O’Leary, Simon Eyre, Michael Witbrock, Gillian Dobbie, Jiamou Liu and Patrice Delmas Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks
876 Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick Fowler, Nathan Jacobs and Yevgeniy Vorobeychik Geospatial Active Search for Preventing Evictions
880 Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder and Tuomas Sandholm Efficient Size-based Hybrid Algorithm for Optimal Coalition Structure Generation
894 William Yue, Bo Liu and Peter Stone t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
901 Ava Pettet, Yunuo Zhang, Baiting Luo, Kyle Wray, Hendrik Baier, Aron Laszka, Abhishek Dubey and Ayan Mukhopadhyay Decision Making in Non-Stationary Environments with Policy-Augmented Search
904 Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Sven Koenig, Tsung-Wei Huang and Thomy Phan Anytime Multi-Agent Path Finding using Operator Parallelism in Large Neighborhood Search
905 Maya Viswanathan and Ruta Mehta On the existence of EFX under picky or non-differentiative agents
914 Arpita Biswas, Yiduo Ke, Samir Khuller and Quanquan Liu Fair Allocation of Conflicting Courses under Additive Utilities
947 Nilson Mori Lazarin, Carlos Pantoja and Jose Viterbo A Specific-Purpose Linux Distribution for Embedded BDI-based Multi-agent Systems
974 Marwa Abdulhai, Micah Carroll, Justin Svegliato, Anca Dragan and Sergey Levine Defining Deception in Decision Making
976 Yuxin Chen, Chen Tang, Ran Tian, Chenran Li, Jinning Li, Masayoshi Tomizuka and Wei Zhan Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization
982 Federico Berto, Chuanbo Hua, Junyoung Park and Jinkyoo Park Efficiently Solving Min-Max Routing Problems via Parallel Autoregressive Policies
983 Ben Aoki-Sherwood, Catherine Bregou, David Liben-Nowell, Kiran Tomlinson and Thomas Zeng Bounding consideration probabilities in consider-then-choose ranking models
997 Xuan Kien Phung and Sylvie Hamel Optimal majority rules and quantitative Condorcet properties of setwise Kemeny voting schemes
999 John Randolph, Amy Greenwald and Denizalp Goktas Banzhaf Power in Hierarchical Games
1010 Yansong Li and Shuo Han Efficient Collaboration with Unknown Agents: Ignoring Similar Agents without Checking Similarity
1015 Akshat Kumar Difference of Convex Functions Programming for Policy Optimization in Reinforcement Learning
1023 Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder and Tuomas Sandholm A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation
1027 Bruce M. Kapron and Koosha Samieefar On the Computational Complexity of Quasi-Variational Inequalities and Multi-Leader-Follower Games
1029 Titas Chakraborty and Parth Shettiwar Non Stationary Bandits with Periodic Variation
1051 Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini, Andrea Omicini and Alessandro Ricci Concurrency model of BDI programming frameworks: why should we control it?
1067 Alexey Gorbatovski and Sergey Kovalchuk Reinforcement learning for question answering in programming domain using public community scoring as a human feedback
1068 Ganesh Ramanathan, Simon Mayer, Simon Hess and Andres Gomez Improving Utilization and Sustainability of Low-power Wireless Sensors through Decentralized Role Allocation in a Multi-agent System
1073 Karthik Sama, Jayati Deshmukh and Srinath Srinivasa Social Identities and Responsible Agency
1074 Janvi Chhabra, Jayati Deshmukh and Srinath Srinivasa Modelling the Dynamics of Subjective Identity in Allocation Games
1075 Ganesh Ramanathan, Simon Mayer and Andrei Ciortea Semantic Bridges in Engineering: Integrating Knowledge to Enable Autonomous Systems for Automation
1077 Berk Buzcu, Emre Kuru and Reyhan Aydogan User-centric Explanation Strategies for Interactive Recommenders
1083 Georgios Chionas, Pedro Braga, Stefanos Leonardos, Carmine Ventre, Georgios Piliouras and Piotr Krysta Who gets the Maximal Extractable Value? A Dynamic Sharing Blockchain Mechanism
1095 Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan and Claudia Linnhof-Popien Challenges for Reinforcement Learning in Quantum Computing
1097 Ruixi Luo, Kai Jin and Zelin Ye Simple $k$-crashing Plan with a Good Approximation Ratio
1100 Hafez Ghaemi, Hamed Kebriaei, Alireza Ramezani Moghaddam and Majid Nili Ahmadabadi Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games
1107 Tianyi Yang, Yuxiang Zhai, Dengji Zhao, Xinwei Song and Miao Li Truthful and Stable One-sided Matching on Networks
1115 Pankaj Kumar Deep Hawkes Process for High-Frequency Market Making
1116 Prabhat Kumar Chand, Apurba Das and Anisur Rahaman Molla Agent-Based Triangle Counting and its Applications in Anonymous Graphs
1124 Tim French Aleatoric Predicates: Reasoning about Marbles
1128 Gogulapati Sreedurga Hybrid Participatory Budgeting: Divisible, Indivisible, and Beyond