Poster Schedule

Instructions

Below is the schedule of poster presentations by the authors of accepted extended abstracts. The recommended poster size is A0, vertical. The poster will be displayed all day on the day given in the schedule, and presented during the lunch and coffee breaks.

Authors of full papers will also have an opportunity to present a poster as well. Poster boards 49A-88B will be available on the day of the full paper presentation. We will publish allocations of boards to full papers later in April.

Print Posters On-site

Authors can print their posters on-site through a third-party service from Warehouse Stationery NZ at their Newmarket Branch (this is the nearest one to the conference location; click here to see the location on Google Maps). You can print posters either by walking in (offline) or making an order online by following the steps below.

  1. Go to the website of Warehouse Stationery NZ: https://www.wsprint.co.nz/value-poster/
  2. Set Size / Paper Type: A0 150 gsm
  3. Set Quantity: 1
  4. Set Scale to fit: Scale to fit
  5. Set: No Lamination
  6. Upload your poster PDF file
  7. Proceed by clicking “Check out” and then “Save and add to cart”
  8. Choose “Shipping” or “Click and Collect” Location: Click and Collect at the Warehouse Stationery Newmarket Branch

Map of the Great Room with Poster Boards

Poster Schedule for Full Papers

Each session is assigned to a range of spatially close-together boards. You may put your poster on any board within the range.

Wednesday 8 May

Sessions Boards
RL1, RL2, RL3, LEARN1 49A – 61A
KR1, KR2 67A – 73A
SC1, SC2 73B – 75B, 83A-87A
COIN 78A – 80B
APP1 81A-82B, 87B-88B
HUMAN1 61B – 64B
EMAS 65A-66B, 76A-77B

Thursday 9 May

Sessions Boards
RL4, RL5, RL6, RL7 49A-61A
KR3, KR4 67A – 73A
SC3, SC4, MA1, MA2 73B – 75B, 77B – 82B, 83A-87B, 88A, 88B
HUMAN2 61B – 64B
SIM1 65A-66B, 76A-77B

Friday 9 May

Sessions Boards
RL8, RL9, RL10, LEARN2 49A-62B
SC5, SC6, MA3 73B – 75B, 80A-82B, 83A-87B
SIM2, SIM3 67A – 73A
ROBOT 63B – 66B
APP2 76A – 78B

Poster Schedule for Extended Abstracts

 

ID Title Author(s) Day Board
3 Pure Nash Equilibria in Weighted Congestion Games with Complementarities and Beyond Kenjiro Takazawa 08-May 21A
8 Continual Depth-limited Responses for Computing Counter-strategies in Sequential Games David Milec, Ondřej Kubíček and Viliam Lisy 08-May 10B
12 MATLight: Traffic Signal Coordinated Control Algorithm Based on Heterogeneous-Agent Mirror Learning With Transformer Haipeng Zhang, Zhiwen Wang and Na Li 08-May 13a
13 Liquid Democracy for Low-Cost Ensemble Pruning Ben Armstrong and Kate Larson 08-May 22A
14 Gaze Supervision for Mitigating Causal Confusion in Driving Agents Abhijat Biswas, Badal Arun Pardhi, Caleb Chuck, Jarrett Holtz, Scott Niekum, Henny Admoni and Alessandro Allievi 08-May 1A
21 Emergent Dominance Hierarchies in Reinforcement Learning Agents Ram Rachum, Yonatan Nakar, Bill Tomlinson, Nitay Alon and Reuth Mirsky 08-May 14A
32 Multi-level aggregation with delays and stochastic arrivals Mathieu Mari, Michał Pawłowski, Runtian Ren and Piotr Sankowski 08-May 27A
41 Leveraging Approximate Model-based Shielding for Probabilistic Safety Guarantees in Continuous Environments Alexander W. Goodall and Francesco Belardinelli 08-May 43B
50 Strategic Routing and Scheduling for Evacuations Kazi Ashik Islam, Da Qi Chen, Madhav Marathe, Henning Mortveit, Samarth Swarup and Anil Vullikanti 08-May 11B
67 Shield Decentralization for Safe Reinforcement Learning in General Partially Observable Multi-Agent Environments Daniel Melcer, Christopher Amato and Stavros Tripakis 08-May 28A
77 Clique Analysis and Bypassing in Continuous-Time Conflict-Based Search Thayne T. Walker, Nathan Sturtevant and Ariel Felner 08-May 29A
85 Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning Jiafei Lyu, Le Wan, Xiu Li and Zongqing Lu 08-May 37A
94 Attila: a Negotiating Agent for the Game of Diplomacy, Based on Purely Symbolic A.I. Dave de Jonge and Laura Rodriguez Cima 08-May 12B
107 From Explicit Communication to Tacit Cooperation: A Novel Paradigm for Cooperative MARL Dapeng Li, Zhiwei Xu, Bin Zhang, Guangchong Zhou, Zeren Zhang and Guoliang Fan 08-May 38A
108 Evaluation of Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric Study Pankaj Deoli, Rohit Kumar, Axel Vierling and Karsten Berns 09-May 4B
113 Simulated Robotic Soft Body Manipulation Glareh Mir and Michael Beetz 08-May 28B
114 MA-MIX: Value Function Decomposition for Cooperative Multiagent Reinforcement Learning Based on Multi-Head Attention Mechanism Yu Niu, Hengxu Zhao and Lei Yu 08-May 39A
115 A Comparison of the Myerson Value and the Position Value Ayşe Mutlu Derya 08-May 23A
117 A Negotiator’s Backup Plan: Optimal Concessions with a Reservation Value Tamara C.P. Florijn, Pinar Yolum and Tim Baarslag 08-May 13B
140 Decentralised Emergence of Robust and Adaptive Linguistic Conventions in Populations of Autonomous Agents Grounded in Continuous Worlds Jérôme Botoko Ekila, Jens Nevens, Lara Verheyen, Katrien Beuls and Paul Van Eecke 08-May 27B
142 Benchmarking MARL on Long Horizon Sequential Multi-Objective Tasks Minghong Geng, Shubham Pateria, Budhitama Subagdja and Ah-Hwee Tan 08-May 40A
143 Fair Scheduling of Indivisible Chores Yatharth Kumar, Sarfaraz Equbal, Rohit Gurjar, Swaprava Nath and Rohit Vaish 08-May 24A
152 TIMAT: Temporal Information Multi-Agent Transformer Qitong Kang, Fuyong Wang, Zhongxin Liu and Zengqiang Chen 08-May 40B
154 Momentum-based Algorithm on Deep Reinforcement Learning Huihui Zhang 08-May 39B
158 Contiguous Allocation of Binary Valued Indivisible Items on a Path Yasushi Kawase, Bodhayan Roy and Mohammad Azharuddin Sanpui 08-May 14B
166 Decentralized Control of Distributed Manipulators: An Information Diffusion Approach Nicolas Bessone, Payam Zahadat and Kasper Stoy 09-May 3B
175 Charging Electric Vehicles Fairly and Efficiently Ramsundar Anandanarayanan, Swaprava Nath and Rohit Vaish 08-May 24B
180 Auto-Encoding Adversarial Imitation Learning Kaifeng Zhang, Rui Zhao, Ziming Zhang and Yang Gao 08-May 38B
190 Ethical Markov Decision Processes with Moral Worth as Rewards Mihail Stojanovski, Nadjet Bourdache, Grégory Bonnet and Mouaddib Abdel-Illah 08-May 30A
197 Game Transformations That Preserve Nash Equilibria or Best Response Sets Emanuel Tewolde and Vincent Conitzer 08-May 15B
213 Mastering Robot Control through Point-based Reinforcement Learning with Pre-training 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 08-May 37B
215 On the Utility of External Agent Intention Predictor for Human-AI Coordination Chenxu Wang, Zilong Chen and Huaping Liu 08-May 2A
219 A SAT-based Approach for Argumentation Dynamics Jean Marie Lagniez, Emmanuel Lonca and Jean-Guy Mailly 08-May 31A
221 Optimal Diffusion Auctions Yao Zhang, Shanshan Zheng and Dengji Zhao 08-May 17A
222 Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning Erwan Escudie, Laetitia Matignon and Jacques Saraydaryan 09-May 2B
225 DCT: Dual Channel Training of Action Embeddings for Reinforcement Learning with Large Discrete Action Spaces Pranavi Pathakota, Hardik Meisheri and Harshad Khadilkar 08-May 36B
226 Decision Market Based Learning For Multi-agent Contextual Bandit Problems Wenlong Wang and Thomas Pfeiffer 08-May 35B
235 ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng and Zhaopeng Meng 08-May 34B
238 Computational Theory of Mind with Abstractions for Effective Human-Agent Collaboration Emre Erdogan, Rineke Verbrugge and Pinar Yolum 08-May 3A
239 Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning Pedro P. Santos, Diogo Carvalho, Miguel Vasco, Alberto Sardinha, Pedro A. Santos, Ana Paiva and Francisco Melo 08-May 41A
241 Computing Balanced Solutions for Large International Kidney Exchange Schemes When Cycle Length Is Unbounded Márton Benedek, Péter Biró, Gergely Csáji, Matthew Johnson, Daniël Paulusma and Xin Ye 08-May 23B
249 Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning Yongsheng Mei, Hanhan Zhou and Tian Lan 08-May 42A
255 Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning Maxime Toquebiau, Nicolas Bredeche, Faïz Ben Amar and Jae-Yun Jun 08-May 43A
256 Decentralized Safe Control for Multi-Robot Navigation in Dynamic Environments with Limited Sensing Saad Khan, Mayank Baranwal and Srikant Sukumar 09-May 10A
257 Synthesizing social laws with ATL conditions Rustam Galimullin and Louwe B. Kuijer 08-May 32A
261 Deep Learning for Two-Sided Matching Markets Sai Srivatsa Ravindranath, Zhe Feng, Shira Li, Jonathan Ma, Scott Kominers and David Parkes 08-May 22B
262 Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Tesfay Zemuy Gebrekidan, Sebastian Stein and Timothy Norman 08-May 44A
268 Enhancing Search and Rescue Capabilities in Hazardous Communication-Denied Environments through Path-Based Sensors with Backtracking Alexander Mendelsohn, Donald Sofge and Michael Otte 08-May 32B
272 Entropy Seeking Constrained Multiagent Reinforcement Learning Ayhan Alp Aydeniz, Enrico Marchesini, Christopher Amato and Kagan Tumer 08-May 45A
283 Indirect Credit Assignment in a Multiagent System” Everardo Gonzalez, Siddarth Viswanathan and Kagan Tumer 08-May 26B
290 Influence-Focused Asymmetric Island Model Andrew Festa, Gaurav Dixit and Kagan Tumer 08-May 33Q
298 PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning Hao Zhang, Tianpei Yang, Yan Zheng, Jianye Hao and Matthew E. Taylor 08-May 46A
301 NP^PP-Completeness of Control by Adding Players to Change the Penrose–Banzhaf Power Index in Weighted Voting Games Joanna Kaczmarek and Jörg Rothe 08-May 21B
305 Fairness of Exposure in Online Restless Multi-armed Bandits Archit Sood, Shweta Jain and Sujit Gujar 08-May 47A
307 Analyzing Crowdfunding of Public Projects Under Dynamic Beliefs Sankarshan Damle and Sujit Gujar 08-May 18A
312 No Transaction Fees? No Problem! Achieving Fairness in Transaction Fee Mechanism Design Sankarshan Damle, Varul Srivastava and Sujit Gujar 08-May 19A
317 Decent-BRM: Decentralization through Block Reward Mechanisms Varul Srivastava and Sujit Gujar 08-May 20A
321 Fairness and Privacy Guarantees in Federated Contextual Bandits Sambhav Solanki, Sujit Gujar and Shweta Jain 08-May 48A
323 Cognizing and Imitating Robotic Skills via a Dual Cognition-Action Architecture Zixuan Chen, Ze Ji, Shuyang Liu, Jing Huo, Yiyu Chen and Yang Gao 09-May 11A
335 GOV-REK: Governed Reward Engineering Kernels for Designing Robust Multi-Agent Reinforcement Learning Systems Ashish Rana, Michael Oesterle and Jannik Brinkmann 08-May 48B
337 Toward Socially Friendly Autonomous Driving Using Multi-agent Deep Reinforcement Learning Jhih-Ching Yeh and Von-Wun Soo 08-May 4b
343 Persuasion by Shaping Beliefs about Multidimensional Features of a Thing Kazunori Terada, Yasuo Noma and Masanori Hattori 08-May 4A
348 Competitive Analysis of Online Facility Open Problem Binghan Wu, Wei Bao and Bing Zhou 08-May 31B
351 Guided Exploration in Reinforcement Learning via Monte Carlo Critic Optimization Igor Kuznetsov 08-May 47B
355 JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System Xin Zhao, Jiaxin Li, Zhiwei Fang, Yuchen Guo, Jinyuan Zhao, Jie He, Wenlong Chen, Changping Peng and Guiguang Ding 08-May 46B
356 Reinforcement Nash Equilibrium Solver Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan and Bo An 09-May 32A
357 Solving Offline 3D Bin Packing Problem with Large-sized Bin via Two-stage Deep Reinforcement Learning Hao Yin, Fan Chen and Hongjie He 08-May 45B
362 Detecting Anomalous Agent Decision Sequences Based on Offline Imitation Learning Chen Wang, Sarah Erfani, Tansu Alpcan and Christopher Leckie 08-May 44B
366 Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Models Khaing Phyo Wai, Minghong Geng, Shubham Pateria, Budhitama Subagdja and Ah-Hwee Tan 08-May 5A
372 Balanced and Incentivized Learning with  Limited Shared Information in Multi-agent Multi-armed Bandit Junning Shao, Siwei Wang and Zhixuan Fang 09-May 48B
417 Facility location games with task allocation Zifan Gong, Minming Li and Houyu Zhou 09-May 24B
418 Sequential principal-agent problems with communication: efficient computation and learning Jiarui Gan, Rupak Majumdar, Debmalya Mandal and Goran Radanovic 09-May 23B
428 Source Detection in Networks using the Stationary Distribution of a Markov Chain Yael Sabato, Amos Azaria and Noam Hazon 08-May 5b
433 Near-Optimal Online Resource Allocation in the Random-Order Model Saar Cohen and Noa Agmon 08-May 20B
447 Neurological Based Timing Mechanism for Reinforcement Learning Michael Tarlton, Gustavo Mello and Anis Yazidi 09-May 47B
462 Inferring Lewisian common knowledge using theory of mind reasoning in a forward-chaining rule engine Stephen Cranefield, Sriashalya Srivathsan and Jeremy Pitt 08-May 30B
463 Incentive-based MARL Approach for Commons Dilemmas in Property-based Environments Lukasz Pelcner, Matheus Do Carmo Alves, Leandro Soriano Marcolino, Paula Harrison and Peter Atkinson 08-May 6b
474 Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination Moumita Choudhury, Sandhya Saisubramanian, Hao Zhang and Shlomo Zilberstein 08-May 29B
478 Optimal Task Assignment and Path Planning using Conflict-Based Search with Precedence and Temporal Constraints Yu Quan Chong, Jiaoyang Li and Katia Sycara 09-May 31A
479 Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning Zida Wu, Mathieu Lauriere, Samuel Jia Cong Chua, Matthieu Geist, Olivier Pietquin and Ankur Mehta 09-May 48A
480 Dual-Policy-Guided Offline Reinforcement Learning with Optimal Stopping Weibo Jiang, Shaohui Li, Zhi Li, Yuxin Ke, Zhizhuo Jiang, Yaowen Li and Yu Liu 09-May 47A
492 Adaptive Discounting of Training Time Attacks Ridhima Bector, Abhay Aradhya, Chai Quek and Zinovi Rabinovich 09-May 46A
497 vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv and Changjie Fan 09-May 45A
510 OPEx: A Large Language Model-Powered Framework for Embodied Instruction Following Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté and Bang Liu 09-May 30A
528 ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park and Jiachen Li 09-May 44A
543 HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding Huijie Tang, Federico Berto, Zihan Ma, Chuanbo Hua, Kyuree Ahn and Jinkyoo Park 08-May 34A
548 Large Language Model Assissted Multi-Agent Dialogue for Ontology Alignment Shiyao Zhang, Yuji Dong, Yichuan Zhang, Terry Payne and Jie Zhang 09-May 29A
552 Abstracting Assumptions in Structured Argumentation Iosif Apostolakis, Zeynep G. Saribatur and Johannes P. Wallner 09-May 28A
554 Decentralized Competing Bandits in Many-to-One Matching Markets Yirui Zhang and Zhixuan Fang 09-May 43A
555 Using Cooperative Game Theory to Prune Neural Networks Mauricio Diaz-Ortiz Jr, Benjamin Kempinski, Daphne Cornelisse, Yoram Bachrach and Tal Kachman 08-May 19B
559 Bayesian Ensembles for Exploration in Deep Q-Learning Pascal van der Vaart, Neil Yorke-Smith and Matthijs Spaan 09-May 42A
561 Understanding the impact of promotions on consumer behavior Jarod Vanderlynden, Philippe Mathieu and Romain Warlop 08-May 7b
563 Electric Vehicle Routing for Emergency Power Supply with Deep Reinforcement Learning Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri, Yuta Toyama, Masaki Nakamura and Yuusuke Nakano 09-May 1A
567 Metric Distortion Under Public-Spirited Voting Amirreza Bagheridelouee, Marzie Nilipour, Masoud Seddighin and Maziar Shamsipour 08-May 18B
569 Factored MDP based Moving Target Defense with Dynamic Threat Modeling Megha Bose, Praveen Paruchuri and Akshat Kumar 08-May 35A
573 Dual Role AoI-based Incentive Mechanism for HD map Crowdsourcing Wentao Ye, Bo Liu, Yuan Luo and Jianwei Huang 08-May 17B
574 Fairness in Repeated House Allocation Karl Jochen Micheel and Anaëlle Wilczynski 08-May 25A
579 Bootstrapped Policy Learning: Goal Shaping for Efficient Task-oriented Dialogue Policy Learning Yangyang Zhao, Mehdi Dastani and Shihan Wang 09-May 41A
583 Unifying Regret and State-Action Space Coverage for Effective Unsupervised Environment Design Jayden Teoh, Wenjun Li and Pradeep Varakantham 09-May 40B
593 Cournot Queueing Games with Applications to Mobility Systems Matthew Sheldon, Dario Paccagnan and Giuliano Casale 09-May 22B
595 Verifying Proportionality in Temporal Multiwinner Voting Edith Elkind, Svetlana Obraztsova and Nicholas Teh 08-May 26A
599 Combining Sentiment Analysis and Non-Bayesian Updating for Cooperative Decision-Making Daniele Orner, Elizabeth Ondula, Nick Mumero and Richa Goyal 09-May 6A
616 Opinion Diffusion on Society Graphs Based on Approval Ballots Jayakrishnan Madathil, Neeldhara Misra and Yash More 09-May 18B
621 On the Complexity of Candidates-Embedded Multiwinner Voting under the Hausdorff Function Yongjie Yang 09-May 19B
630 HLG: Bridging Human Heuristic Knowledge and Deep Reinforcement Learning for Optimal Agent Performance Bin Chen and Zehong Cao 09-May 39B
637 Reducing Systemic Risk in Financial Networks through Donations Jinyun Tong, Bart De Keijzer and Carmine Ventre 08-May 9a
658 Strategic Cost Selection in Participatory Budgeting Piotr Faliszewski, Łukasz Janeczko, Andrzej Kaczmarczyk, Grzegorz Lisowski, Piotr Skowron and Stanisław Szufa 09-May 20B
659 A Reinforcement Learning Framework For Studying Group And Individual Fairness Alexandra Cimpean, Catholijn Jonker, Pieter Libin and Ann Nowé 09-May 38B
672 Unlocking the Potential of Machine Ethics with Explainability Timo Speith 08-May 15A
677 BAR Nash Equilibrium and Application to Blockchain Design Maxime Reynouard, Olga Gorelkina and Rida Laraki 09-May 21B
696 Addressing Permutation Challenges in Multi-Agent Reinforcement Learning Somnath Hazra, Pallab Dasgupta and Soumyajit Dey 09-May 37B
702 Towards Zero Shot Learning in Restless Multi-armed Bandits Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja and Milind Tambe 09-May 36B
708 Computing Nash Equilibria in Multidimensional Congestion Games Mohammad Irfan, Hau Chan and Jared Soundy 09-May 20B
709 Ontological modeling and reasoning for comparison and contrastive narration of robot plans Alberto Olivares-Alarcos, Sergi Foix, Júlia Borràs, Gerard Canal and Guillem Alenyà 09-May 12A
712 Time-Constrained Restless Multi-Armed Bandits with Applications to City Service Scheduling Yi Mao and Andrew Perrault 09-May 35B
719 Fuzzy Clustered Federated Learning Under Mixed Data Distributions Peng Tang, Lifan Wang, Weidong Qiu, Zheng Huang and Qiangmin Wang 08-May 36A
720 Distribution of Chores with Information Asymmetry Hadi Hosseini, Joshua Kavner, Tomasz Wąs and Lirong Xia 09-May 21B
724 ANOTO: Improving Automated Negotiation via Offline-to-Online Reinforcement Learning Siqi Chen, Jianing Zhao, Kai Zhao, Gerhard Weiss, Fengyun Zhang, Ran Su, Yang Dong, Daqian Li and Kaiyou Lei 09-May 19B
725 The Selfishness Level of Social Dilemmas Stefan Roesch, Stefanos Leonardos and Yali Du 09-May 18B
727 Consensus of Nonlinear Multi-Agent Systems with Semi-Markov Switching Under DoS Attacks Sheng Tian, Hong Shen, Yuan Tian and Hui Tian 09-May 27A
729 Embracing Relational Reasoning in Multi-Agent Actor-Critic Sharlin Utke, Jeremie Houssineau and Giovanni Montana 09-May 34B
738 Deep Learning for Population-Dependent Controls in Mean Field Control Problems with Common Noise Gokce Dayanikli, Mathieu Lauriere and Jiacheng Zhang 09-May 46B
744 Psychophysiological Models of Cognitive States Can Be Operator-Agnostic Erin Richardson, Savannah Buchner, Jacob Kintz, Torin Clark and Allison Anderson 08-May 6A
749 Mutual Information as Intrinsic Reward of Reinforcement Learning Agents for On-demand Ride Pooling Xianjie Zhang, Jiahao Sun, Chen Gong, Kai Wang, Yifei Cao, Hao Chen and Yu Liu 09-May 2A
757 Which Games are Unaffected by Absolute Commitments? Daji Landis and Nikolaj Ignatieff Schwartzbach 09-May 17B
766 MiKe: Task Scheduling for UAV-based Parcel Delivery Viviana Arrigoni, Giulio Attenni, Novella Bartolini, Matteo Finelli and Gaia Maselli 09-May 3A
768 JaxMARL: Multi-Agent RL Environments in JAX 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 09-May 7A
769 Fairness and Cooperation between Independent Reinforcement Learners through Indirect Reciprocity Jacobus Smit and Fernando Santos 09-May 33B
773 Approximately Fair Allocation of Indivisible Items with Random Valuations Alessandro Aloisio, Vittorio Bilo, Antonio Mario Caruso, Michele Flammini and Cosimo Vinci 09-May 22B
775 Actual Trust in Multiagent Systems Michael Akintunde, Vahid Yazdanpanah, Asieh Salehi Fathabadi, Corina Cirstea, Mehdi Dastani and Luc Moreau 09-May 26A
776 On General Epistemic Abstract Argumentation Frameworks Gianvincenzo Alfano, Sergio Greco, Francesco Parisi and Irina Trubitsyna 09-May 25A
790 Fully Independent Communication in Multi-Agent Reinforcement Learning Rafael Pina, Varuna De Silva, Corentin Artaud and Xiaolan Liu 09-May 40A
796 GLIDE-RL: Grounded Language Instruction through DEmonstration in RL Chaitanya Kharyal, Sai Krishna Gottipati, Tanmay Sinha, Srijita Das and Matthew E. Taylor 09-May 39A
805 Towards Socially-Acceptable Multi-Criteria Resolution of the 4D-Contracts Repair Problem Youssef Hamadi and Gauthier Picard 09-May 4A
810 Potential Games on Cubic Splines for Multi-Agent Motion Planning of Autonomous Agents Sam Williams and Jyotirmoy Deshmukh 09-May 26B
814 Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks Michael Y Fatemi, Wesley A Suttle and Brian M Sadler 09-May 38A
818 Cutsets and EF1 Fair Division of Graphs Jiehua Chen and William Zwicker 09-May 23B
824 Mechanism Design for Reducing Agent Distances  to Prelocated Facilities Hau Chan, Xinliang Fu, Minming Li and Chenhao Wang 09-May 17A
840 Taking Agent-Based Social Simulation to the Next Level Using Exascale Computing: Potential Use-Cases, Capacity Requirements and Threats. Matt Hare, Douglas Salt, Ric Colasanti, Richard Milton, Mike Batty, Alison Heppenstall and Gary Polhill 08-May 10a
842 Distance-Aware Attentive Framework for Multi-Agent Collaborative Perception in Presence of Pose Error Binyu Zhao, Wei Zhang and Zhaonian Zou 09-May 45B
845 Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning Calarina Muslimani and Matthew Taylor 09-May 37A
859 Decision-Focused Model-based Reinforcement Learning for Reward Transfer Abhishek Sharma, Sonali Parbhoo, Omer Gottesman and Finale Doshi-Velez 09-May 36A
868 Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks 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 08-May 11a
876 Geospatial Active Search for Preventing Evictions Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick Fowler, Nathan Jacobs and Yevgeniy Vorobeychik 09-May 5A
880 Efficient Size-based Hybrid Algorithm for Optimal Coalition Structure Generation Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder and Tuomas Sandholm 08-May 16A
894 t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making William Yue, Bo Liu and Peter Stone 09-May 44B
901 Decision Making in Non-Stationary Environments with Policy-Augmented Search Ava Pettet, Yunuo Zhang, Baiting Luo, Kyle Wray, Hendrik Baier, Aron Laszka, Abhishek Dubey and Ayan Mukhopadhyay 09-May 43B
904 Anytime Multi-Agent Path Finding using Operator Parallelism in Large Neighborhood Search Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Sven Koenig, Tsung-Wei Huang and Thomy Phan 09-May 8A
905 On the existence of EFX under picky or non-differentiative agents Maya Viswanathan and Ruta Mehta 09-May 24B
914 Fair Allocation of Conflicting Courses under Additive Utilities Arpita Biswas, Yiduo Ke, Samir Khuller and Quanquan Liu 09-May 16B
947 A Specific-Purpose Linux Distribution for Embedded BDI-based Multi-agent Systems Nilson Mori Lazarin, Carlos Pantoja and Jose Viterbo 09-May 8B
969 Proportionality and Free Riders: Committee Selection with Strategic Voters Kerry Lu and Brandon Fain 09-May 15B
974 Defining Deception in Decision Making Marwa Abdulhai, Micah Carroll, Justin Svegliato, Anca Dragan and Sergey Levine 08-May 7A
976 Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization Yuxin Chen, Chen Tang, Ran Tian, Chenran Li, Jinning Li, Masayoshi Tomizuka and Wei Zhan 09-May 35A
982 Efficiently Solving Min-Max Routing Problems via Parallel Autoregressive Policies Federico Berto, Chuanbo Hua, Junyoung Park and Jinkyoo Park 09-May 34A
983 Bounding consideration probabilities in consider-then-choose ranking models Ben Aoki-Sherwood, Catherine Bregou, David Liben-Nowell, Kiran Tomlinson and Thomas Zeng 09-May 42B
997 Optimal majority rules and quantitative Condorcet properties of setwise Kemeny voting schemes Xuan Kien Phung and Sylvie Hamel 09-May 14B
999 Banzhaf Power in Hierarchical Games John Randolph, Amy Greenwald and Denizalp Goktas 09-May 13B
1010 Efficient Collaboration with Unknown Agents: Ignoring Similar Agents without Checking Similarity Yansong Li and Shuo Han 09-May 33A
1015 Difference of Convex Functions Programming for Policy Optimization in Reinforcement Learning Akshat Kumar 09-May 32B
1023 A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder and Tuomas Sandholm 08-May 16B
1027 On the Computational Complexity of Quasi-Variational Inequalities and Multi-Leader-Follower Games Bruce M. Kapron and Koosha Samieefar 09-May 18A
1029 Non Stationary Bandits with Periodic Variation Titas Chakraborty and Parth Shettiwar 09-May 31B
1051 Concurrency model of BDI programming frameworks: why should we control it? Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini, Andrea Omicini and Alessandro Ricci 09-May 7B
1067 Reinforcement learning for question answering in programming domain using public community scoring as a human feedback Alexey Gorbatovski and Sergey Kovalchuk 08-May 8A
1068 Improving Utilization and Sustainability of Low-power Wireless Sensors through Decentralized Role Allocation in a Multi-agent System Ganesh Ramanathan, Simon Mayer, Simon Hess and Andres Gomez 09-May 6B
1073 Social Identities and Responsible Agency Karthik Sama, Jayati Deshmukh and Srinath Srinivasa 08-May 12a
1074 Modelling the Dynamics of Subjective Identity in Allocation Games Janvi Chhabra, Jayati Deshmukh and Srinath Srinivasa 08-May 2b
1075 Semantic Bridges in Engineering: Integrating Knowledge to Enable Autonomous Systems for Automation Ganesh Ramanathan, Simon Mayer and Andrei Ciortea 09-May 5B
1077 User-centric Explanation Strategies for Interactive Recommenders Berk Buzcu, Emre Kuru and Reyhan Aydogan 08-May 8B
1083 Who gets the Maximal Extractable Value? A Dynamic Sharing Blockchain Mechanism Georgios Chionas, Pedro Braga, Stefanos Leonardos, Carmine Ventre, Georgios Piliouras and Piotr Krysta 09-May 41B
1095 Quantum Circuit Design: A Reinforcement Learning Challenge Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan and Claudia Linnhof-Popien 09-May 30B
1097 Simple $k$-crashing Plan with a Good Approximation Ratio Ruixi Luo, Kai Jin and Zelin Ye 09-May 27B
1100 Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games Hafez Ghaemi, Hamed Kebriaei, Alireza Ramezani Moghaddam and Majid Nili Ahmadabadi 09-May 29B
1107 Truthful and Stable One-sided Matching on Networks Tianyi Yang, Yuxiang Zhai, Dengji Zhao, Xinwei Song and Miao Li 09-May 12B
1115 Deep Hawkes Process for High-Frequency Market Making Pankaj Kumar 08-May 3B
1116 Agent-Based Triangle Counting and its Applications in Anonymous Graphs Prabhat Kumar Chand, Apurba Das and Anisur Rahaman Molla 09-May 13A
1124 Aleatoric Predicates: Reasoning about Marbles Tim French 09-May 28B
1128 Hybrid Participatory Budgeting: Divisible, Indivisible, and Beyond Gogulapati Sreedurga 09-May 11B