AAMAS A

461 papers

YearTitle / Authors
20242D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem.
Qidong Liu, Chaoyue Liu, Shaoyao Niu, Cheng Long, Jie Zhang, Mingliang Xu
202430 Years of Engineering Multi-Agent Systems: What and Why?
Michael Winikoff
2024A Cloud-Based Microservices Solution for Multi-Agent Traffic Control Systems.
Chikadibia Ihejimba, Rym Z. Wenkstern
2024A Comparison of the Myerson Value and the Position Value.
Ayse Mutlu Derya
2024A Complete Landscape for the Price of Envy-Freeness.
Zihao Li, Shengxin Liu, Xinhang Lu, Biaoshuai Tao, Yichen Tao
2024A Computational Framework of Human Values.
Nardine Osman, Mark d'Inverno
2024A Distributed Approach for Fault Detection in Swarms of Robots.
Alessandro Carminati, Davide Azzalini, Simone Vantini, Francesco Amigoni
2024A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem.
Paul Barde, Jakob N. Foerster, Derek Nowrouzezahrai, Amy Zhang
2024A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation.
Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder, Tuomas Sandholm
2024A Negotiator's Backup Plan: Optimal Concessions with a Reservation Value.
Tamara C. P. Florijn, Pinar Yolum, Tim Baarslag
2024A Reinforcement Learning Framework for Studying Group and Individual Fairness.
Alexandra Cimpean, Catholijn M. Jonker, Pieter Libin, Ann Nowé
2024A SAT-based Approach for Argumentation Dynamics.
Jean-Marie Lagniez, Emmanuel Lonca, Jean-Guy Mailly
2024A Simple 1.5-approximation Algorithm for a Wide Range of Maximum Size Stable Matching Problems.
Gergely Csáji
2024A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary.
Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
2024A Summary of the RGS
Cyrille Berger, Patrick Doherty, Piotr Rudol, Mariusz Wzorek
2024A Survey of Multi-Agent Deep Reinforcement Learning with Communication.
Changxi Zhu, Mehdi Dastani, Shihan Wang
2024A Symbolic Sequential Equilibria Solver for Game Theory Explorer.
Moritz Graf, Thorsten Engesser, Bernhard Nebel
2024A Task-Driven Multi-UAV Coalition Formation Mechanism.
Xinpeng Lu, Heng Song, Huailing Ma, Junwu Zhu
2024A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning.
Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan
2024ANOTO: 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, Kaiyou Lei
2024Abstracting Assumptions in Structured Argumentation.
Iosif Apostolakis, Zeynep G. Saribatur, Johannes P. Wallner
2024Abstraction in Non-Monotonic Reasoning.
Iosif Apostolakis
2024Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes.
Baiting Luo, Yunuo Zhang, Abhishek Dubey, Ayan Mukhopadhyay
2024Actual Trust in Multiagent Systems.
Michael Akintunde, Vahid Yazdanpanah, Asieh Salehi Fathabadi, Corina Cîrstea, Mehdi Dastani, Luc Moreau
2024Adaptive Decision-Making in Non-Stationary Markov Decision Processes.
Baiting Luo
2024Adaptive Discounting of Training Time Attacks.
Ridhima Bector, Abhay Aradhya, Chai Quek, Zinovi Rabinovich
2024Adaptive Evolutionary Reinforcement Learning Algorithm with Early Termination Strategy.
Xiaoqiang Wu, Qingling Zhu, Qiuzhen Lin, Weineng Chen, Jianqiang Li
2024Adaptive Incentive Engineering in Citizen-Centric AI.
Behrad Koohy, Jan Buermann, Vahid Yazdanpanah, Pamela Briggs, Paul Pschierer-Barnfather, Enrico H. Gerding, Sebastian Stein
2024Adaptive Primal-Dual Method for Safe Reinforcement Learning.
Weiqin Chen, James Onyejizu, Long Vu, Lan Hoang, Dharmashankar Subramanian, Koushik Kar, Sandipan Mishra, Santiago Paternain
2024Addressing Permutation Challenges in Multi-Agent Reinforcement Learning.
Somnath Hazra, Pallab Dasgupta, Soumyajit Dey
2024Advancing Sample Efficiency and Explainability in Multi-Agent Reinforcement Learning.
Zhicheng Zhang
2024Agent-Based Triangle Counting and Its Applications in Anonymous Graphs.
Prabhat Kumar Chand, Apurba Das, Anisur Rahaman Molla
2024Agents and Humans: Trajectories and Perspectives.
Liz Sonenberg
2024Aleatoric Predicates: Reasoning about Marbles.
Tim French
2024Algorithmic Filtering, Out-Group Stereotype, and Polarization on Social Media.
Jean Springsteen, William Yeoh, Dino P. Christenson
2024Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination.
Jiajun Chai, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu
2024Allocating Contiguous Blocks of Indivisible Chores Fairly: Revisited.
Ankang Sun, Bo Li
2024Allocating Resources with Imperfect Information.
Shiji Xing
2024An Online Learning Theory of Brokerage.
Natasa Bolic, Tommaso Cesari, Roberto Colomboni
2024Analysing the Sample Complexity of Opponent Shaping.
Kitty Fung, Qizhen Zhang, Chris Lu, Jia Wan, Timon Willi, Jakob N. Foerster
2024Analyzing Crowdfunding of Public Projects Under Dynamic Beliefs.
Sankarshan Damle, Sujit Gujar
2024Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search.
Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Sven Koenig, Tsung-Wei Huang, Thomy Phan
2024Applying Opponent Modeling for Automatic Bidding in Online Repeated Auctions.
Yudong Hu, Congying Han, Tiande Guo, Hao Xiao
2024Approximately Fair Allocation of Indivisible Items with Random Valuations.
Alessandro Aloisio, Vittorio Bilò, Antonio Mario Caruso, Michele Flammini, Cosimo Vinci
2024Approximating APS Under Submodular and XOS Valuations with Binary Marginals.
Pooja Kulkarni, Rucha Kulkarni, Ruta Mehta
2024Approximating the Core via Iterative Coalition Sampling.
Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, András György, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
2024Assessing Fairness of Residential Dynamic Pricing for Electricity using Active Learning with Agent-based Simulation.
Swapna Thorve, Henning S. Mortveit, Anil Vullikanti, Madhav V. Marathe, Samarth Swarup
2024Atlas-X Equity Financing: Unlocking New Methods to Securely Obfuscate Axe Inventory Data Based on Differential Privacy.
Antigoni Polychroniadou, Gabriele Cipriani, Richard Hua, Tucker Balch
2024Attacking Multi-Player Bandits and How to Robustify Them.
Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh
2024Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning.
Erwan Escudie, Laëtitia Matignon, Jacques Saraydaryan
2024Attention-based Priority Learning for Limited Time Multi-Agent Path Finding.
Yibin Yang, Mingfeng Fan, Chengyang He, Jianqiang Wang, Heye Huang, Guillaume Sartoretti
2024Attila: A Negotiating Agent for the Game of Diplomacy, Based on Purely Symbolic A.I.
Dave de Jonge, Laura Rodriguez Cima
2024Auto-Encoding Adversarial Imitation Learning.
Kaifeng Zhang, Rui Zhao, Ziming Zhang, Yang Gao
2024Automatic Curriculum for Unsupervised Reinforcement Learning.
Yucheng Yang, Tianyi Zhou, Lei Han, Meng Fang, Mykola Pechenizkiy
2024Autonomous Skill Acquisition for Robots Using Graduated Learning.
Gautham Vasan
2024BAR Nash Equilibrium and Application to Blockchain Design.
Maxime Reynouard, Olga Gorelkina, Rida Laraki
2024BDI Agents in Natural Language Environments.
Alexandre Yukio Ichida, Felipe Meneguzzi, Rafael C. Cardoso
2024Balanced and Incentivized Learning with Limited Shared Information in Multi-agent Multi-armed Bandit.
Junning Shao, Siwei Wang, Zhixuan Fang
2024Banzhaf Power in Hierarchical Games.
John Randolph, Amy Greenwald, Denizalp Goktas
2024Battlefield Transfers in Coalitional Blotto Games.
Vade Shah, Jason R. Marden
2024Bayesian Behavioural Model Estimation for Live Crowd Simulation.
Fumiyasu Makinoshima, Tetsuro Takahashi, Yusuke Oishi
2024Bayesian Ensembles for Exploration in Deep Q-Learning.
Pascal R. van der Vaart, Neil Yorke-Smith, Matthijs T. J. Spaan
2024Bayesian Model-Free Deep Reinforcement Learning.
Pascal R. van der Vaart
2024Behaviour 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, Patrice Delmas
2024Beliefs, Shocks, and the Emergence of Roles in Asset Markets: An Agent-Based Modeling Approach.
Evan Albers, Mohammad T. Irfan, Matthew J. Bosch
2024Bellman Momentum on Deep Reinforcement Learning.
Huihui Zhang
2024Benchmarking MARL on Long Horizon Sequential Multi-Objective Tasks.
Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2024Beyond Surprise: Improving Exploration Through Surprise Novelty.
Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh
2024Boosting Continuous Control with Consistency Policy.
Yuhui Chen, Haoran Li, Dongbin Zhao
2024Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: The Past, Present, and Future.
Yan Song, He Jiang, Haifeng Zhang, Zheng Tian, Weinan Zhang, Jun Wang
2024Bootstrapped Policy Learning: Goal Shaping for Efficient Task-oriented Dialogue Policy Learning.
Yangyang Zhao, Mehdi Dastani, Shihan Wang
2024Bootstrapping Linear Models for Fast Online Adaptation in Human-Agent Collaboration.
Benjamin A. Newman, Christopher Jason Paxton, Kris Kitani, Henny Admoni
2024Bounding Consideration Probabilities in Consider-Then-Choose Ranking Models.
Ben Aoki-Sherwood, Catherine Bregou, David Liben-Nowell, Kiran Tomlinson, Thomas Zeng
2024Bounding the Incentive Ratio of the Probabilistic Serial Rule.
Bo Li, Ankang Sun, Shiji Xing
2024BrainSLAM: SLAM on Neural Population Activity Data.
Kipp McAdam Freud, Nathan F. Lepora, Matt W. Jones, Cian O'Donnell
2024Budget-feasible Egalitarian Allocation of Conflicting Jobs.
Sushmita Gupta, Pallavi Jain, A. Mohanapriya, Vikash Tripathi
2024Building Trustworthy Human-Centric Autonomous Systems Via Explanations.
Balint Gyevnar
2024CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning.
Andreas Sauter, Nicolò Botteghi, Erman Acar, Aske Plaat
2024Can Poverty Be Reduced by Acting on Discrimination? An Agent-based Model for Policy Making.
Alba Aguilera, Nieves Montes, Georgina Curto, Carles Sierra, Nardine Osman
2024Capacity Modification in the Stable Matching Problem.
Salil Gokhale, Samarth Singla, Shivika Narang, Rohit Vaish
2024Catfished! Impacts of Strategic Misrepresentation in Online Dating.
Oz Kilic, Alan Tsang
2024Causal Explanations for Sequential Decision-Making in Multi-Agent Systems.
Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht
2024Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning.
Pedro P. Santos, Diogo S. Carvalho, Miguel Vasco, Alberto Sardinha, Pedro A. Santos, Ana Paiva, Francisco S. Melo
2024Charging Electric Vehicles Fairly and Efficiently.
Ramsundar Anandanarayanan, Swaprava Nath, Rohit Vaish
2024Clique Analysis and Bypassing in Continuous-Time Conflict-Based Search.
Thayne T. Walker, Nathan R. Sturtevant, Ariel Felner
2024Coalition Formation with Bounded Coalition Size.
Chaya Levinger, Noam Hazon, Sofia Simola, Amos Azaria
2024Cognizing and Imitating Robotic Skills via a Dual Cognition-Action Architecture.
Zixuan Chen, Ze Ji, Shuyang Liu, Jing Huo, Yiyu Chen, Yang Gao
2024Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems.
Yaoxin Wu, Mingfeng Fan, Zhiguang Cao, Ruobin Gao, Yaqing Hou, Guillaume Sartoretti
2024Collective Robustness of Heterogeneous Decision-Makers Against Stubborn Individuals.
Nemanja Antonic, Raina Zakir, Marco Dorigo, Andreagiovanni Reina
2024Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing.
Zemuy Tesfay Gebrekidan, Sebastian Stein, Timothy J. Norman
2024Combining Theory of Mind and Abductive Reasoning in Agent-Oriented Programming.
Nieves Montes, Michael Luck, Nardine Osman, Odinaldo Rodrigues, Carles Sierra
2024Combining Voting and Abstract Argumentation to Understand Online Discussions.
Michael Bernreiter, Jan Maly, Oliviero Nardi, Stefan Woltran
2024Communication and Generalization in Multi-Agent Learning.
Jiaxun Cui
2024Competitive Analysis of Online Facility Open Problem.
Binghan Wu, Wei Bao, Bing Zhou
2024Computational Aspects of Distortion.
Soroush Ebadian, Aris Filos-Ratsikas, Mohamad Latifian, Nisarg Shah
2024Computational Theory of Mind with Abstractions for Effective Human-Agent Collaboration.
Emre Erdogan, Rineke Verbrugge, Pinar Yolum
2024Computing Balanced Solutions for Large International Kidney Exchange Schemes when Cycle Length is Unbounded.
Márton Benedek, Péter Biró, Gergely Csáji, Matthew Johnson, Daniël Paulusma, Xin Ye
2024Computing Nash Equilibria in Multidimensional Congestion Games.
Mohammad T. Irfan, Hau Chan, Jared Soundy
2024Computing Optimal Commitments to Strategies and Outcome-Conditional Utility Transfers.
Nathaniel Sauerberg, Caspar Oesterheld
2024Concurrency Model of BDI Programming Frameworks: Why Should We Control It?
Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini, Andrea Omicini, Alessandro Ricci
2024Confidence-Based Curriculum Learning for Multi-Agent Path Finding.
Thomy Phan, Joseph Driscoll, Justin Romberg, Sven Koenig
2024Consensus of Nonlinear Multi-Agent Systems with Semi-Markov Switching Under DoS Attacks.
Sheng Tian, Hong Shen, Yuan Tian, Hui Tian
2024Containing the Spread of a Contagion on a Tree.
Michela Meister, Jon M. Kleinberg
2024Context-aware Communication for Multi-agent Reinforcement Learning.
Xinran Li, Jun Zhang
2024Contiguous Allocation of Binary Valued Indivisible Items on a Path.
Yasushi Kawase, Bodhayan Roy, Mohammad Azharuddin Sanpui
2024Continual Depth-limited Responses for Computing Counter-strategies in Sequential Games.
David Milec, Ondrej Kubícek, Viliam Lisý
2024Continual Optimistic Initialization for Value-Based Reinforcement Learning.
Sheelabhadra Dey, James Ault, Guni Sharon
2024Continuous Monte Carlo Graph Search.
Kalle Kujanpää, Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen
2024Controlling Delegations in Liquid Democracy.
Shiri Alouf-Heffetz, Tanmay Inamdar, Pallavi Jain, Nimrod Talmon, Yash More Hiren
2024Conversational Language Models for Human-in-the-Loop Multi-Robot Coordination.
William Hunt, Toby Godfrey, Mohammad Divband Soorati
2024Cooperation and Coordination in Heterogeneous Populations with Interaction Diversity.
Hao Guo, Zhen Wang, Junliang Xing, Pin Tao, Yuanchun Shi
2024Cooperative Electric Vehicles Planning.
Jaël Champagne Gareau, Marc-André Lavoie, Guillaume Gosset, Éric Beaudry
2024Cooperative Multi-Agent Reinforcement Learning in Convention Reliant Environments.
Jarrod Shipton
2024Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation.
Cong Guan, Ruiqi Xue, Ziqian Zhang, Lihe Li, Yi-Chen Li, Lei Yuan, Yang Yu
2024Cournot Queueing Games with Applications to Mobility Systems.
Matthew Sheldon, Dario Paccagnan, Giuliano Casale
2024Covert Planning aganist Imperfect Observers.
Haoxiang Ma, Chongyang Shi, Shuo Han, Michael R. Dorothy, Jie Fu
2024Cutsets and EF1 Fair Division of Graphs.
Jiehua Chen, William S. Zwicker
2024DCT: Dual Channel Training of Action Embeddings for Reinforcement Learning with Large Discrete Action Spaces.
Pranavi Pathakota, Hardik Meisheri, Harshad Khadilkar
2024Decent-BRM: Decentralization through Block Reward Mechanisms.
Varul Srivastava, Sujit Gujar
2024Decentralised 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, Paul Van Eecke
2024Decentralized Competing Bandits in Many-to-One Matching Markets.
Yirui Zhang, Zhixuan Fang
2024Decentralized Control of Distributed Manipulators: An Information Diffusion Approach.
Nicolas Bessone, Payam Zahadat, Kasper Støy
2024Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence.
Philip Jordan, Florian Grötschla, Flint Xiaofeng Fan, Roger Wattenhofer
2024Decentralized Safe Control for Multi-Robot Navigation in Dynamic Environments with Limited Sensing.
Saad Khan, Mayank Baranwal, Srikant Sukumar
2024Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks.
Michael Y. Fatemi, Wesley A. Suttle, Brian M. Sadler
2024Decision Making in Non-Stationary Environments with Policy-Augmented Search.
Ava Pettet, Yunuo Zhang, Baiting Luo, Kyle Hollins Wray, Hendrik Baier, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay
2024Decision Market Based Learning for Multi-agent Contextual Bandit Problems.
Wenlong Wang, Thomas Pfeiffer
2024Deep Anomaly Detection via Active Anomaly Search.
Chao Chen, Dawei Wang, Feng Mao, Jiacheng Xu, Zongzhang Zhang, Yang Yu
2024Deep Hawkes Process for High-Frequency Market Making.
Pankaj Kumar
2024Deep Learning for Population-Dependent Controls in Mean Field Control Problems with Common Noise.
Gökçe Dayanikli, Mathieu Laurière, Jiacheng Zhang
2024Deep Reinforcement Learning with Coalition Action Selection for Online Combinatorial Resource Allocation with Arbitrary Action Space.
Zemuy Tesfay Gebrekidan, Sebastian Stein, Timothy J. Norman
2024Defining Deception in Decision Making.
Marwa Abdulhai, Micah Carroll, Justin Svegliato, Anca D. Dragan, Sergey Levine
2024Design Patterns for Explainable Agents (XAg).
Sebastian Rodriguez, John Thangarajah, Andrew Davey
2024Designing Artificial Reasoners for Communication.
Emiliano Lorini
2024Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchains.
Sankarshan Damle, Manisha Padala, Sujit Gujar
2024Detecting Anomalous Agent Decision Sequences Based on Offline Imitation Learning.
Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie
2024Developing a Multi-agent and Self-adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management.
Zhenglong Li, Vincent W. L. Tam, Kwan L. Yeung
2024Difference of Convex Functions Programming for Policy Optimization in Reinforcement Learning.
Akshat Kumar
2024Discovering Consistent Subelections.
Lukasz Janeczko, Jérôme Lang, Grzegorz Lisowski, Stanislaw Szufa
2024Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation.
Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu
2024Distance-Aware Attentive Framework for Multi-Agent Collaborative Perception in Presence of Pose Error.
Binyu Zhao, Wei Zhang, Zhaonian Zou
2024Distributed Online Rollout for Multivehicle Routing in Unmapped Environments.
Jamison W. Weber, Dhanush R. Giriyan, Devendra R. Parkar, Dimitri P. Bertsekas, Andréa W. Richa
2024Distribution of Chores with Information Asymmetry.
Hadi Hosseini, Joshua Kavner, Tomasz Was, Lirong Xia
2024Distributive and Temporal Fairness in Algorithmic Collective Decision-Making.
Nicholas Teh
2024DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge.
Jiaming Lu, Jingqing Ruan, Haoyuan Jiang, Ziyue Li, Hangyu Mao, Rui Zhao
2024Dual Role AoI-based Incentive Mechanism for HD map Crowdsourcing.
Wentao Ye, Bo Liu, Yuan Luo, Jianwei Huang
2024Dual-Policy-Guided Offline Reinforcement Learning with Optimal Stopping.
Weibo Jiang, Shaohui Li, Zhi Li, Yuxin Ke, Zhizhuo Jiang, Yaowen Li, Yu Liu
2024Dynamic Epistemic Logic of Resource Bounded Information Mining Agents.
Vitaliy Dolgorukov, Rustam Galimullin, Maksim Gladyshev
2024ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games.
Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park, Jiachen Li
2024ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles.
Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng
2024EVtonomy: A Personalised Route Planner for Electric Vehicles.
Alexandry Augustin, Elnaz Shafipour, Sebastian Stein
2024Efficient Collaboration with Unknown Agents: Ignoring Similar Agents without Checking Similarity.
Yansong Li, Shuo Han
2024Efficient Continuous Space BeliefMDP Solutions for Navigation and Active Sensing.
Himanshu Gupta
2024Efficient Method for Finding Optimal Strategies in Chopstick Auctions with Uniform Objects Values.
Stanislaw Kazmierowski, Marcin Dziubinski
2024Efficient Public Health Intervention Planning Using Decomposition-Based Decision-focused Learning.
Sanket Shah, Arun Suggala, Milind Tambe, Aparna Taneja
2024Efficient Size-based Hybrid Algorithm for Optimal Coalition Structure Generation.
Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder, Tuomas Sandholm
2024Electric Vehicle Routing for Emergency Power Supply with Deep Reinforcement Learning.
Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri, Yuta Toyama, Masaki Nakamura, Yuusuke Nakano
2024Embracing Relational Reasoning in Multi-Agent Actor-Critic.
Sharlin Utke, Jeremie Houssineau, Giovanni Montana
2024Emergence of Linguistic Conventions In Multi-Agent Systems Through Situated Communicative Interactions.
Jérôme Botoko Ekila
2024Emergent Cooperation under Uncertain Incentive Alignment.
Nicole Orzan, Erman Acar, Davide Grossi, Roxana Radulescu
2024Emergent Dominance Hierarchies in Reinforcement Learning Agents.
Ram Rachum, Yonatan Nakar, Bill Tomlinson, Nitay Alon, Reuth Mirsky
2024Empowering BDI Agents with Generalised Decision-Making.
Ramon Fraga Pereira, Felipe Meneguzzi
2024Enabling BDI Agents to Reason on a Dynamic Action Repertoire in Hypermedia Environments.
Danai Vachtsevanou, Bruno de Lima, Andrei Ciortea, Jomi Fred Hübner, Simon Mayer, Jérémy Lemée
2024End to End Camera only Drone Detection and Tracking Demo within a Multi-agent Framework with a CNN-LSTM Model for Range Estimation.
Maxence de Rochechouart, Raed Abu Zitar, Amal El Fallah Seghrouchni, Frédéric Barbaresco
2024Engaging the Elderly in Exercise with Agents: A Gamified Stationary Bike System for Sarcopenia Management.
Yang Qiu, Ping Chen, Huiguo Zhang, Bo Huang, Di Wang, Zhiqi Shen
2024Engineering LaCAM*: Towards Real-time, Large-scale, and Near-optimal Multi-agent Pathfinding.
Keisuke Okumura
2024Enhancing Search and Rescue Capabilities in Hazardous Communication-Denied Environments through Path-Based Sensors with Backtracking.
Alexander Mendelsohn, Donald Sofge, Michael W. Otte
2024Entropy Seeking Constrained Multiagent Reinforcement Learning.
Ayhan Alp Aydeniz, Enrico Marchesini, Christopher Amato, Kagan Tumer
2024Episodic Reinforcement Learning with Expanded State-reward Space.
Dayang Liang, Yaru Zhang, Yunlong Liu
2024Ethical Markov Decision Processes with Moral Worth as Rewards.
Mihail Stojanovski, Nadjet Bourdache, Grégory Bonnet, Abdel-Illah Mouaddib
2024Evaluating District-based Election Surveys with Synthetic Dirichlet Likelihood.
Adway Mitra, Palash Dey
2024Evaluation of Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric Study.
Pankaj Deoli, Rohit Kumar, Axel Vierling, Karsten Berns
2024Explainable Agents (XAg) by Design.
Sebastian Rodriguez, John Thangarajah
2024Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Models.
Khaing Phyo Wai, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2024Explaining the Behavior of POMDP-based Agents Through the Impact of Counterfactual Information.
Saaduddin Mahmud, Marcell Vazquez-Chanlatte, Stefan J. Witwicki, Shlomo Zilberstein
2024Extended Abstract of Diffusion Auction Design with Transaction Costs.
Bin Li, Dong Hao, Dengji Zhao
2024Extended Abstract: Price of Anarchy of Traffic Assignment with Exponential Cost Functions.
Jianglin Qiao, Dave de Jonge, Dongmo Zhang, Simeon Simoff, Carles Sierra, Bo Du
2024Extended Ranking Mechanisms for the m-Capacitated Facility Location Problem in Bayesian Mechanism Design.
Gennaro Auricchio, Jie Zhang, Mengxiao Zhang
2024Facility Location Games with Fractional Preferences and Limited Resources.
Jiazhu Fang, Wenjing Liu
2024Facility Location Games with Scaling Effects.
Yu He, Alexander Lam, Minming Li
2024Facility Location Games with Task Allocation.
Zifan Gong, Minming Li, Houyu Zhou
2024Factor Graph Neural Network Meets Max-Sum: A Real-Time Route Planning Algorithm for Massive-Scale Trips.
Yixuan Li, Wanyuan Wang, Weiyi Xu, Yanchen Deng, Weiwei Wu
2024Factored MDP based Moving Target Defense with Dynamic Threat Modeling.
Megha Bose, Praveen Paruchuri, Akshat Kumar
2024Fair Allocation of Conflicting Courses under Additive Utilities.
Arpita Biswas, Yiduo Ke, Samir Khuller, Quanquan C. Liu
2024Fair Scheduling of Indivisible Chores.
Yatharth Kumar, Sarfaraz Equbal, Rohit Gurjar, Swaprava Nath, Rohit Vaish
2024Fair and Efficient Division of a Discrete Cake with Switching Utility Loss.
Zheng Chen, Bo Li, Minming Li, Guochuan Zhang
2024Fairness and Cooperation between Independent Reinforcement Learners through Indirect Reciprocity.
Jacobus Smit, Fernando P. Santos
2024Fairness and Efficiency Trade-off in Two-sided Matching.
Sung-Ho Cho, Kei Kimura, Kiki Liu, Kwei-guu Liu, Zhengjie Liu, Zhaohong Sun, Kentaro Yahiro, Makoto Yokoo
2024Fairness and Privacy Guarantees in Federated Contextual Bandits.
Sambhav Solanki, Sujit Gujar, Shweta Jain
2024Fairness in Repeated House Allocation.
Karl Jochen Micheel, Anaëlle Wilczynski
2024Fairness of Exposure in Online Restless Multi-armed Bandits.
Archit Sood, Shweta Jain, Sujit Gujar
2024Fast and Slow Goal Recognition.
Mattia Chiari, Alfonso Emilio Gerevini, Andrea Loreggia, Luca Putelli, Ivan Serina
2024Finding Effective Ad Allocations: How to Exploit User History.
Matteo Castiglioni, Alberto Latino, Alberto Marchesi, Giulia Romano, Nicola Gatti, Chokha Palayamkottai
2024Fine-Grained Liquid Democracy for Cumulative Ballots.
Matthias Köppe, Martin Koutecký, Krzysztof Sornat, Nimrod Talmon
2024First 100 days of Pandemic: An Interplay of Pharmaceutical, Behavioral and Digital Interventions - A Study using Agent Based Modeling.
Gauri Gupta, Ritvik Kapila, Ayush Chopra, Ramesh Raskar
2024Forecasting and Mitigating Disruptions in Public Bus Transit Services.
Chaeeun Han, Jose Paolo Talusan, Daniel Freudberg, Ayan Mukhopadhyay, Abhishek Dubey, Aron Laszka
2024Foresight Distribution Adjustment for Off-policy Reinforcement Learning.
Ruifeng Chen, Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Feng Xu, Yang Yu
2024Formal and Natural Language assisted Curriculum Generation for Reinforcement Learning Agents.
Yash Shukla
2024From Explicit Communication to Tacit Cooperation: A Novel Paradigm for Cooperative MARL.
Dapeng Li, Zhiwei Xu, Bin Zhang, Guangchong Zhou, Zeren Zhang, Guoliang Fan
2024From Market Saturation to Social Reinforcement: Understanding the Impact of Non-Linearity in Information Diffusion Models.
Tobias Friedrich, Andreas Göbel, Nicolas Klodt, Martin S. Krejca, Marcus Pappik
2024Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique Experiences.
Nikhil Kumar Singh, Indranil Saha
2024Fully Independent Communication in Multi-Agent Reinforcement Learning.
Rafael Pina, Varuna De Silva, Corentin Artaud, Xiaolan Liu
2024Fuzzy Clustered Federated Learning Under Mixed Data Distributions.
Peng Tang, Lifan Wang, Weidong Qiu, Zheng Huang, Qiangmin Wang
2024GLIDE-RL: Grounded Language Instruction through DEmonstration in RL.
Chaitanya Kharyal, Sai Krishna Gottipati, Tanmay Kumar Sinha, Srijita Das, Matthew E. Taylor
2024GOV-REK: Governed Reward Engineering Kernels for Designing Robust Multi-Agent Reinforcement Learning Systems.
Ashish Rana, Michael Oesterle, Jannik Brinkmann
2024Game Transformations That Preserve Nash Equilibria or Best-Response Sets.
Emanuel Tewolde, Vincent Conitzer
2024Gaze Supervision for Mitigating Causal Confusion in Driving Agents.
Abhijat Biswas, Badal Arun Pardhi, Caleb Chuck, Jarrett Holtz, Scott Niekum, Henny Admoni, Alessandro Allievi
2024Generalized Response Objectives for Strategy Exploration in Empirical Game-Theoretic Analysis.
Yongzhao Wang, Michael P. Wellman
2024Generalized Strategy Synthesis of Infinite-state Impartial Combinatorial Games via Exact Binary Classification.
Liangda Fang, Meihong Yang, Dingliang Cheng, Yunlai Hao, Quanlong Guan, Liping Xiong
2024Generalizing Objective-Specification in Markov Decision Processes.
Pedro P. Santos
2024Generating and Choosing Organizations for Multi-Agent Systems.
Cleber Jorge Amaral, Jomi F. Hübner, Stephen Cranefield
2024Geospatial Active Search for Preventing Evictions.
Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik
2024Gerrymandering Planar Graphs.
Jack Dippel, Max Dupré la Tour, April Niu, Sanjukta Roy, Adrian Vetta
2024Going Beyond Mono-Mission Earth Observation: Using the Multi-Agent Paradigm to Federate Multiple Missions.
Jean-Loup Farges, Filipo Perotto, Gauthier Picard, Cédric Pralet, Cyrille de Lussy, Jonathan Guerra, Philippe Pavero, Fabrice Planchou
2024GraphSAID: Graph Sampling via Attention based Integer Programming Method.
Ziqi Liu, Laurence Liu
2024Grasper: A Generalist Pursuer for Pursuit-Evasion Problems.
Pengdeng Li, Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Stephen McAleer, Hau Chan, Bo An
2024Guided Exploration in Reinforcement Learning via Monte Carlo Critic Optimization.
Igor Kuznetsov
2024HELP! Providing Proactive Support in the Presence of Knowledge Asymmetry.
Turgay Caglar, Sarath Sreedharan
2024HLG: Bridging Human Heuristic Knowledge and Deep Reinforcement Learning for Optimal Agent Performance.
Bin Chen, Zehong Cao
2024HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding.
Huijie Tang, Federico Berto, Zihan Ma, Chuanbo Hua, Kyuree Ahn, Jinkyoo Park
2024High-Level, Collaborative Task Planning Grammar and Execution for Heterogeneous Agents.
Amy Fang, Hadas Kress-Gazit
2024Higher Order Reasoning under Intent Uncertainty Reinforces the Hobbesian Trap.
Otto Kuusela, Debraj Roy
2024Holonic Learning: A Flexible Agent-based Distributed Machine Learning Framework.
Ahmad Esmaeili, Zahra Ghorrati, Eric T. Matson
2024Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability.
Chenyuan Zhang, Charles Kemp, Nir Lipovetzky
2024Hybrid Participatory Budgeting: Divisible, Indivisible, and Beyond.
Gogulapati Sreedurga
2024Hyper Strategy Logic.
Raven Beutner, Bernd Finkbeiner
2024IDIL: Imitation Learning of Intent-Driven Expert Behavior.
Sangwon Seo, Vaibhav V. Unhelkar
2024Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking.
Nathan Gavenski, Michael Luck, Odinaldo Rodrigues
2024Impact of Tie-Breaking on the Manipulability of Elections.
James P. Bailey, Craig A. Tovey
2024Improving Mobile Maternal and Child Health Care Programs: Collaborative Bandits for Time Slot Selection.
Soumyabrata Pal, Milind Tambe, Arun Suggala, Karthikeyan Shanmugam, Aparna Taneja
2024Incentive-based MARL Approach for Commons Dilemmas in Property-based Environments.
Lukasz Pelcner, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Paula A. Harrison, Peter M. Atkinson
2024Incentives for Early Arrival in Cooperative Games.
Yaoxin Ge, Yao Zhang, Dengji Zhao, Zhihao Gavin Tang, Hu Fu, Pinyan Lu
2024Indirect Credit Assignment in a Multiagent System.
Everardo Gonzalez, Siddarth Viswanathan, Kagan Tumer
2024Inferring Lewisian Common Knowledge using Theory of Mind Reasoning in a Forward-chaining Rule Engine.
Stephen Cranefield, Sriashalya Srivathsan, Jeremy Pitt
2024Influence-Focused Asymmetric Island Model.
Andrew Festa, Gaurav Dixit, Kagan Tumer
2024Informativeness of Reward Functions in Reinforcement Learning.
Rati Devidze, Parameswaran Kamalaruban, Adish Singla
2024Interactive Control and Decision-Making for Multi-Robots Systems.
Yiwei Lyu
2024Interactively Learning the User's Utility for Best-Arm Identification in Multi-Objective Multi-Armed Bandits.
Mathieu Reymond, Eugenio Bargiacchi, Diederik M. Roijers, Ann Nowé
2024Is Limited Information Enough? An Approximate Multi-agent Coverage Control in Non-Convex Discrete Environments.
Tatsuya Iwase, Aurélie Beynier, Nicolas Bredèche, Nicolas Maudet, Jason R. Marden
2024It Is Among Us: Identifying Adversaries in Ad-hoc Domains using Q-valued Bayesian Estimations.
Matheus Aparecido do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino
2024JDRec: 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, Guiguang Ding
2024JaxMARL: Multi-Agent RL Environments and Algorithms in JAX.
Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster
2024Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning.
Maxime Toquebiau, Nicolas Bredèche, Faïz Ben Amar, Jae-Yun Jun
2024Keeping the Harmony Between Neighbors: Local Fairness in Graph Fair Division.
Halvard Hummel, Ayumi Igarashi
2024LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination.
Jijia Liu, Chao Yu, Jiaxuan Gao, Yuqing Xie, Qingmin Liao, Yi Wu, Yu Wang
2024Large Language Model Assissted Multi-Agent Dialogue for Ontology Alignment.
Shiyao Zhang, Yuji Dong, Yichuan Zhang, Terry R. Payne, Jie Zhang
2024Large Learning Agents: Towards Continually Aligned Robots with Scale in RL.
Bram Grooten
2024Learning Complex Teamwork Tasks using a Given Sub-task Decomposition.
Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht
2024Learning Partner Selection Rules that Sustain Cooperation in Social Dilemmas with the Option of Opting Out.
Chin-wing Leung, Paolo Turrini
2024Learning a Social Network by Influencing Opinions.
Dmitry Chistikov, Luisa Estrada, Mike Paterson, Paolo Turrini
2024Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-agent Reinforcement Learning.
Benjamin Patrick Evans, Sumitra Ganesh
2024Learning and Sustaining Shared Normative Systems via Bayesian Rule Induction in Markov Games.
Ninell Oldenburg, Tan Zhi-Xuan
2024Learning to Schedule Online Tasks with Bandit Feedback.
Yongxin Xu, Shangshang Wang, Hengquan Guo, Xin Liu, Ziyu Shao
2024Leveraging Approximate Model-based Shielding for Probabilistic Safety Guarantees in Continuous Environments.
Alexander W. Goodall, Francesco Belardinelli
2024Leveraging Interpretable Human Models to Personalize AI Interventions for Behavior Change.
Eura Nofshin
2024Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning.
Calarina Muslimani, Matthew E. Taylor
2024LgTS: Dynamic Task Sampling using LLM-generated Sub-Goals for Reinforcement Learning Agents.
Yash Shukla, Wenchang Gao, Vasanth Sarathy, Alvaro Velasquez, Robert Wright, Jivko Sinapov
2024Linking Vision and Multi-Agent Communication through Visible Light Communication using Event Cameras.
Haruyuki Nakagawa, Yoshitaka Miyatani, Asako Kanezaki
2024Liquid Democracy for Low-Cost Ensemble Pruning.
Ben Armstrong, Kate Larson
2024MA-MIX: Value Function Decomposition for Cooperative Multiagent Reinforcement Learning Based on Multi-Head Attention Mechanism.
Yu Niu, Hengxu Zhao, Lei Yu
2024MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning.
Aravind Venugopal, Stephanie Milani, Fei Fang, Balaraman Ravindran
2024MAGNets: Micro-Architectured Group Neural Networks.
Sumanta Dey, Briti Gangopadhyay, Pallab Dasgupta, Soumyajit Dey
2024MATLight: Traffic Signal Coordinated Control Algorithm based on Heterogeneous-Agent Mirror Learning with Transformer.
Haipeng Zhang, Zhiwen Wang, Na Li
2024MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure.
Zhicheng Zhang, Yancheng Liang, Yi Wu, Fei Fang
2024MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning.
Bram Grooten, Tristan Tomilin, Gautham Vasan, Matthew E. Taylor, A. Rupam Mahmood, Meng Fang, Mykola Pechenizkiy, Decebal Constantin Mocanu
2024Majority-based Preference Diffusion on Social Networks.
Ahad N. Zehmakan
2024Mastering 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, Long Zeng
2024Maximising the Influence of Temporary Participants in Opinion Formation.
Zhiqiang Zhuang, Kewen Wang, Zhe Wang, Junhu Wang, Yinong Yang
2024Measuring Policy Distance for Multi-Agent Reinforcement Learning.
Tianyi Hu, Zhiqiang Pu, Xiaolin Ai, Tenghai Qiu, Jianqiang Yi
2024Mechanism Design for Reducing Agent Distances to Prelocated Facilities.
Hau Chan, Xinliang Fu, Minming Li, Chenhao Wang
2024Memory-Based Resilient Control Against Non-cooperation in Multi-agent Flocking.
Mingyue Zhang, Nianyu Li, Jialong Li, Jiachun Liao, Jiamou Liu
2024Metric Distortion Under Public-Spirited Voting.
Amirreza Bagheridelouee, Marzie Nilipour, Masoud Seddighin, Maziar Shamsipour
2024MiKe: Task Scheduling for UAV-based Parcel Delivery.
Viviana Arrigoni, Giulio Attenni, Novella Bartolini, Matteo Finelli, Gaia Maselli
2024Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play.
Daniel Bairamian, Philippe Marcotte, Joshua Romoff, Gabriel Robert, Derek Nowrouzezahrai
2024Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination.
Moumita Choudhury, Sandhya Saisubramanian, Hao Zhang, Shlomo Zilberstein
2024Minimizing State Exploration While Searching Graphs with Unknown Obstacles.
Daniel Koyfman, Shahaf S. Shperberg, Dor Atzmon, Ariel Felner
2024Mixed-Initiative Bayesian Sub-Goal Optimization in Hierarchical Reinforcement Learning.
Haozhe Ma, Thanh Vinh Vo, Tze-Yun Leong
2024Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation.
Manisha Natarajan, Chunyue Xue, Sanne van Waveren, Karen M. Feigh, Matthew C. Gombolay
2024Modeling Cognitive Biases in Decision-theoretic Planning for Active Cyber Deception.
Aditya Shinde, Prashant Doshi
2024Modelling the Dynamics of Subjective Identity in Allocation Games.
Janvi Chhabra, Jayati Deshmukh, Srinath Srinivasa
2024Modelling the Rise and Fall of Two-sided Markets.
Farnoud Ghasemi, Rafal Kucharski
2024Monitored Markov Decision Processes.
Simone Parisi, Montaser Mohammedalamen, Alireza Kazemipour, Matthew E. Taylor, Michael Bowling
2024Monitoring Second-Order Hyperproperties.
Raven Beutner, Bernd Finkbeiner, Hadar Frenkel, Niklas Metzger
2024Multi-Agent Alternate Q-Learning.
Kefan Su, Siyuan Zhou, Jiechuan Jiang, Chuang Gan, Xiangjun Wang, Zongqing Lu
2024Multi-Agent Diagnostics for Robustness via Illuminated Diversity.
Mikayel Samvelyan, Davide Paglieri, Minqi Jiang, Jack Parker-Holder, Tim Rocktäschel
2024Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks.
Taha Eghtesad, Sirui Li, Yevgeniy Vorobeychik, Aron Laszka
2024Multi-Robot Allocation of Assistance from a Shared Uncertain Operator.
Clarissa Costen, Anna Gautier, Nick Hawes, Bruno Lacerda
2024Multi-Robot Motion and Task Planning in Automotive Production Using Controller-based Safe Reinforcement Learning.
Eric Wete, Joel Greenyer, Daniel Kudenko, Wolfgang Nejdl
2024Multi-deal Negotiation.
Tim Baarslag
2024Multi-level Aggregation with Delays and Stochastic Arrivals.
Mathieu Mari, Michal Pawlowski, Runtian Ren, Piotr Sankowski
2024Multi-user Norm Consensus.
Marc Serramia, Natalia Criado, Michael Luck
2024Multimodal Pretrained Models for Verifiable Sequential Decision-Making: Planning, Grounding, and Perception.
Yunhao Yang, Cyrus Neary, Ufuk Topcu
2024Mutual 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, Yu Liu
2024NP
Joanna Kaczmarek, Jörg Rothe
2024Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning.
Sunghoon Hong, Deunsol Yoon, Whiyoung Jung, Jinsang Lee, Hyundam Yoo, Jiwon Ham, Suhyun Jung, Chanwoo Moon, Yeontae Jung, Kanghoon Lee, Woohyung Lim, Somin Jeon, Myounggu Lee, Sohui Hong, Jaesang Lee, Hangyoul Jang, Changhyun Kwak, Jeonghyeon Park, Changhoon Kang, Jungki Kim
2024Nash Stability in Hedonic Skill Games.
Laurent Gourvès, Gianpiero Monaco
2024Near-Optimal Online Resource Allocation in the Random-Order Model.
Saar Cohen, Noa Agmon
2024Negotiation Strategies for Combining Partials Deals in One-To-Many Negotiations.
Tamara C. P. Florijn
2024Network Agency: An Agent-based Model of Forced Migration from Ukraine.
Zakaria Mehrab, Logan Stundal, Samarth Swarup, Srinivasan Venkatramanan, Bryan Lewis, Henning S. Mortveit, Christopher L. Barrett, Abhishek Pandey, Chad R. Wells, Alison P. Galvani, Burton H. Singer, David Leblang, Rita R. Colwell, Madhav V. Marathe
2024Neural Population Learning beyond Symmetric Zero-Sum Games.
Siqi Liu, Luke Marris, Marc Lanctot, Georgios Piliouras, Joel Z. Leibo, Nicolas Heess
2024Neurological Based Timing Mechanism for Reinforcement Learning.
Michael J. Tarlton, Gustavo B. M. Mello, Anis Yazidi
2024New Algorithms for Distributed Fair k-Center Clustering: Almost Accurate as Sequential Algorithms.
Xiaoliang Wu, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang
2024No Transaction Fees? No Problem! Achieving Fairness in Transaction Fee Mechanism Design.
Sankarshan Damle, Varul Srivastava, Sujit Gujar
2024Non Stationary Bandits with Periodic Variation.
Titas Chakraborty, Parth Shettiwar
2024Norm Enforcement with a Soft Touch: Faster Emergence, Happier Agents.
Sz-Ting Tzeng, Nirav Ajmeri, Munindar P. Singh
2024Normalization Enhances Generalization in Visual Reinforcement Learning.
Lu Li, Jiafei Lyu, Guozheng Ma, Zilin Wang, Zhenjie Yang, Xiu Li, Zhiheng Li
2024NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds.
Shivam Goel, Yichen Wei, Panagiotis Lymperopoulos, Klára Churá, Matthias Scheutz, Jivko Sinapov
2024ODEs Learn to Walk: ODE-Net based Data-Driven Modeling for Crowd Dynamics.
Chen Cheng, Jinglai Li
2024OPEx: A Large Language Model-Powered Framework for Embodied Instruction Following.
Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu
2024Observer-Aware Planning with Implicit and Explicit Communication.
Shuwa Miura, Shlomo Zilberstein
2024Obstruction Alternating-time Temporal Logic: A Strategic Logic to Reason about Dynamic Models.
Davide Catta, Jean Leneutre, Vadim Malvone, Aniello Murano
2024Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming.
Giorgio Angelotti, Caroline P. C. Chanel, Adam Henrique Moreira Pinto, Christophe Lounis, Corentin Chauffaut, Nicolas Drougard
2024Oh, Now I See What You Want: Learning Agent Models with Internal States from Observations.
Panagiotis Lymperopoulos, Matthias Scheutz
2024On Dealing with False Beliefs and Maintaining KD45
Tran Cao Son, Loc Pham, Enrico Pontelli
2024On General Epistemic Abstract Argumentation Frameworks.
Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna
2024On Green Sustainability of Resource Selection Games with Equitable Cost-Sharing.
Vittorio Bilò, Michele Flammini, Gianpiero Monaco, Luca Moscardelli, Cosimo Vinci
2024On the Complexity of Candidates-Embedded Multiwinner Voting under the Hausdorff Function.
Yongjie Yang
2024On the Complexity of Pareto-Optimal and Envy-Free Lotteries.
Ioannis Caragiannis, Kristoffer Arnsfelt Hansen, Nidhi Rathi
2024On the Computational Complexity of Quasi-Variational Inequalities and Multi-Leader-Follower Games.
Bruce M. Kapron, Koosha Samieefar
2024On the Potential and Limitations of Proxy Voting: Delegation with Incomplete Votes.
Georgios Amanatidis, Aris Filos-Ratsikas, Philip Lazos, Evangelos Markakis, Georgios Papasotiropoulos
2024On the Stability of Learning in Network Games with Many Players.
Aamal Abbas Hussain, Dan Leonte, Francesco Belardinelli, Georgios Piliouras
2024On the Transit Obfuscation Problem.
Hideaki Takahashi, Alex Fukunaga
2024On the Utility of External Agent Intention Predictor for Human-AI Coordination.
Chenxu Wang, Zilong Chen, Huaping Liu
2024On the existence of EFX under picky or non-differentiative agents.
Maya Viswanathan, Ruta Mehta
2024Online Decentralised Mechanisms for Dynamic Ridesharing.
Nicos Protopapas, Vahid Yazdanpanah, Enrico H. Gerding, Sebastian Stein
2024Ontological Modeling and Reasoning for Comparison and Contrastive Narration of Robot Plans.
Alberto Olivares Alarcos, Sergi Foix, Júlia Borràs Sol, Gerard Canal, Guillem Alenyà
2024Opinion Diffusion on Society Graphs Based on Approval Ballots.
Jayakrishnan Madathil, Neeldhara Misra, Yash More
2024Optimal Diffusion Auctions.
Yao Zhang, Shanshan Zheng, Dengji Zhao
2024Optimal Flash Loan Fee Function with Respect to Leverage Strategies.
Chenmin Wang, Peng Li, Yulong Zeng, Xuepeng Fan
2024Optimal Majority Rules and Quantitative Condorcet Properties of Setwise Kemeny Voting Schemes.
Xuan Kien Phung, Sylvie Hamel
2024Optimal Referral Auction Design.
Rangeet Bhattacharyya, Parvik Dave, Palash Dey, Swaprava Nath
2024Optimal Task Assignment and Path Planning using Conflict-Based Search with Precedence and Temporal Constraints.
Yu Quan Chong, Jiaoyang Li, Katia P. Sycara
2024Overview of t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making.
William Yue, Bo Liu, Peter Stone
2024PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning.
Hao Zhang, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor
2024PAS: Probably Approximate Safety Verification of Reinforcement Learning Policy Using Scenario Optimization.
Arambam James Singh, Arvind Easwaran
2024PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning.
Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, Jiangjin Yin
2024PI-NeuGODE: Physics-Informed Graph Neural Ordinary Differential Equations for Spatiotemporal Trajectory Prediction.
Zhaobin Mo, Yongjie Fu, Xuan Di
2024Parameterized Guarantees for Almost Envy-Free Allocations.
Siddharth Barman, Debajyoti Kar, Shraddha Pathak
2024Persuasion by Shaping Beliefs about Multidimensional Features of a Thing.
Kazunori Terada, Yasuo Noma, Masanori Hattori
2024Playing Quantitative Games Against an Authority: On the Module Checking Problem.
Wojciech Jamroga, Munyque Mittelmann, Aniello Murano, Giuseppe Perelli
2024Policy Learning for Off-Dynamics RL with Deficient Support.
Linh Le Pham Van, Hung The Tran, Sunil Gupta
2024Policy Optimization using Horizon Regularized Advantage to Improve Generalization in Reinforcement Learning.
Nasik Muhammad Nafi, Raja Farrukh Ali, William H. Hsu, Kevin Duong, Mason Vick
2024Policy-regularized Offline Multi-objective Reinforcement Learning.
Qian Lin, Chao Yu, Zongkai Liu, Zifan Wu
2024Population Synthesis as Scenario Generation for Simulation-based Planning under Uncertainty.
Joel Dyer, Arnau Quera-Bofarull, Nicholas Bishop, J. Doyne Farmer, Anisoara Calinescu, Michael J. Wooldridge
2024Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning.
Zida Wu, Mathieu Laurière, Samuel Jia Cong Chua, Matthieu Geist, Olivier Pietquin, Ankur Mehta
2024Positive Intra-Group Externalities in Facility Location.
Ying Wang, Houyu Zhou, Minming Li
2024Potential Games on Cubic Splines for Multi-Agent Motion Planning of Autonomous Agents.
Sam Williams, Jyotirmoy Deshmukh
2024Potential-Based Reward Shaping for Intrinsic Motivation.
Grant C. Forbes, Nitish Gupta, Leonardo Villalobos-Arias, Colin M. Potts, Arnav Jhala, David L. Roberts
2024Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning.
Tan Zhi-Xuan, Lance Ying, Vikash Mansinghka, Joshua B. Tenenbaum
2024Predicting and Protecting the Cognitive Health of Operators in Isolated, Confined, and Extreme Environments.
Erin E. Richardson
2024Preventing Deadlocks for Multi-Agent Pickup and Delivery in Dynamic Environments.
Benedetta Flammini, Davide Azzalini, Francesco Amigoni
2024Private Agent-Based Modeling.
Ayush Chopra, Arnau Quera-Bofarull, Nurullah Giray Kuru, Michael J. Wooldridge, Ramesh Raskar
2024Probabilistic Multi-agent Only-Believing.
Qihui Feng, Gerhard Lakemeyer
2024Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024, Auckland, New Zealand, May 6-10, 2024
Mehdi Dastani, Jaime Simão Sichman, Natasha Alechina, Virginia Dignum
2024Progression with Probabilities in the Situation Calculus: Representation and Succinctness.
Daxin Liu, Vaishak Belle
2024Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning.
Yongsheng Mei, Hanhan Zhou, Tian Lan
2024Proportional Fairness in Obnoxious Facility Location.
Alexander Lam, Haris Aziz, Bo Li, Fahimeh Ramezani, Toby Walsh
2024Provably Learning Nash Policies in Constrained Markov Potential Games.
Pragnya Alatur, Giorgia Ramponi, Niao He, Andreas Krause
2024Pruning Neural Networks Using Cooperative Game Theory.
Mauricio Diaz-Ortiz Jr., Benjamin Kempinski, Daphne Cornelisse, Yoram Bachrach, Tal Kachman
2024Psychophysiological Models of Cognitive States Can Be Operator-Agnostic.
Erin E. Richardson, Savannah Lynn Buchner, Jacob R. Kintz, Torin K. Clark, Allison P. Anderson
2024Pure Nash Equilibria in Weighted Congestion Games with Complementarities and Beyond.
Kenjiro Takazawa
2024Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization.
Yuxin Chen, Chen Tang, Ran Tian, Chenran Li, Jinning Li, Masayoshi Tomizuka, Wei Zhan
2024Quantum Circuit Design: A Reinforcement Learning Challenge.
Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien
2024RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning.
Jasmina Gajcin, Ivana Dusparic
2024RAISE the Bar: Restriction of Action Spaces for Improved Social Welfare and Equity in Traffic Management.
Michael Oesterle, Tim Grams, Christian Bartelt, Heiner Stuckenschmidt
2024Rational Verification with Quantitative Probabilistic Goals.
David Hyland, Julian Gutierrez, Shankaranarayanan Krishna, Michael J. Wooldridge
2024Recourse under Model Multiplicity via Argumentative Ensembling.
Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni
2024Reducing Optimism Bias in Incomplete Cooperative Games.
Filip Úradník, David Sychrovský, Jakub Cerný, Martin Cerný
2024Reducing Systemic Risk in Financial Networks through Donations.
Jinyun Tong, Bart de Keijzer, Carmine Ventre
2024Regret-based Defense in Adversarial Reinforcement Learning.
Roman Belaire, Pradeep Varakantham, Thanh Hong Nguyen, David Lo
2024Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks.
Eura Nofshin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2024Reinforcement Learning for Question Answering in Programming Domain using Public Community Scoring as a Human Feedback.
Alexey Gorbatovski, Sergey V. Kovalchuk
2024Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer.
Hannes Eriksson, Tommy Tram, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
2024Reinforcement Learning with Ensemble Model Predictive Safety Certification.
Sven Gronauer, Tom Haider, Felippe Schmoeller da Roza, Klaus Diepold
2024Reinforcement Nash Equilibrium Solver.
Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An
2024Relaxed Exploration Constrained Reinforcement Learning.
Shahaf S. Shperberg, Bo Liu, Peter Stone
2024Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection.
Linas Nasvytis, Kai Sandbrink, Jakob N. Foerster, Tim Franzmeyer, Christian Schröder de Witt
2024Risk-Aware Constrained Reinforcement Learning with Non-Stationary Policies.
Zhaoxing Yang, Haiming Jin, Yao Tang, Guiyun Fan
2024Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games.
Hafez Ghaemi, Hamed Kebriaei, Alireza Ramezani Moghaddam, Majid Nili Ahmadabadi
2024Robust Knowledge Extraction from Large Language Models using Social Choice Theory.
Nico Potyka, Yuqicheng Zhu, Yunjie He, Evgeny Kharlamov, Steffen Staab
2024Robust Popular Matchings.
Martin Bullinger, Rohith Reddy Gangam, Parnian Shahkar
2024SMT4SMTL: A Tool for SMT-Based Satisfiability Checking of SMTL.
Artur Niewiadomski, Maciej Nazarczuk, Mateusz Przychodzki, Magdalena Kacprzak, Wojciech Penczek, Andrzej Zbrzezny
2024STV+KH: Towards Practical Verification of Strategic Ability for Knowledge and Information Flow.
Mateusz Kaminski, Damian Kurpiewski, Wojciech Jamroga
2024Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning.
Matej Jusup, Barna Pásztor, Tadeusz Janik, Kenan Zhang, Francesco Corman, Andreas Krause, Ilija Bogunovic
2024Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models.
Xingzhou Lou, Junge Zhang, Ziyan Wang, Kaiqi Huang, Yali Du
2024Safeguard Privacy for Minimal Data Collection with Trustworthy Autonomous Agents.
Mengwei Xu, Louise A. Dennis, Mustafa A. Mustafa
2024Sample and Communication Efficient Fully Decentralized MARL Policy Evaluation via a New Approach: Local TD Update.
Hairi, Zifan Zhang, Jia Liu
2024Scaling Opponent Shaping to High Dimensional Games.
Akbir Khan, Timon Willi, Newton Kwan, Andrea Tacchetti, Chris Lu, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster
2024Scaling up Cooperative Multi-agent Reinforcement Learning Systems.
Minghong Geng
2024Selecting Representative Bodies: An Axiomatic View.
Manon Revel, Niclas Boehmer, Rachael Colley, Markus Brill, Piotr Faliszewski, Edith Elkind
2024Sentimental Agents: Combining Sentiment Analysis and Non-Bayesian Updating for Cooperative Decision-Making.
Daniele Orner, Elizabeth Akinyi Ondula, Nick Mumero Mwangi, Richa Goyal
2024Shield Decentralization for Safe Reinforcement Learning in General Partially Observable Multi-Agent Environments.
Daniel Melcer, Christopher Amato, Stavros Tripakis
2024Simple k-crashing Plan with a Good Approximation Ratio.
Ruixi Luo, Kai Jin, Zelin Ye
2024Simulated Robotic Soft Body Manipulation.
Glareh Mir, Michael Beetz
2024Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits.
Subham Pokhriyal, Shweta Jain, Ganesh Ghalme, Swapnil Dhamal, Sujit Gujar
2024Single-Winner Voting with Alliances: Avoiding the Spoiler Effect.
Grzegorz Pierczynski, Stanislaw Szufa
2024Social Identities and Responsible Agency.
Karthik Sama, Jayati Deshmukh, Srinath Srinivasa
2024Solution-oriented Agent-based Models Generation with Verifier-assisted Iterative In-context Learning.
Tong Niu, Weihao Zhang, Rong Zhao
2024Solving Offline 3D Bin Packing Problem with Large-sized Bin via Two-stage Deep Reinforcement Learning.
Hao Yin, Fan Chen, Hongjie He
2024Solving Two-player Games with QBF Solvers in General Game Playing.
Yifan He, Abdallah Saffidine, Michael Thielscher
2024Source Detection in Networks using the Stationary Distribution of a Markov Chain.
Yael Sabato, Amos Azaria, Noam Hazon
2024Stability of Weighted Majority Voting under Estimated Weights.
Shaojie Bai, Dongxia Wang, Tim Muller, Peng Cheng, Jiming Chen
2024Strategic Cost Selection in Participatory Budgeting.
Piotr Faliszewski, Lukasz Janeczko, Andrzej Kaczmarczyk, Grzegorz Lisowski, Piotr Skowron, Stanislaw Szufa
2024Strategic Reasoning under Capacity-constrained Agents.
Gabriel Ballot, Vadim Malvone, Jean Leneutre, Youssef Laarouchi
2024Strategic Routing and Scheduling for Evacuations.
Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti
2024Successively Pruned Q-Learning: Using Self Q-function to Reduce the Overestimation.
Zhaolin Xue, Lihua Zhang, Zhiyan Dong
2024Surge Routing: Event-informed Multiagent Reinforcement Learning for Autonomous Rideshare.
Daniel Garces, Stephanie Gil
2024Symbolic Computation of Sequential Equilibria.
Moritz Graf, Thorsten Engesser, Bernhard Nebel
2024Synthesizing Social Laws with ATL Conditions.
Rustam Galimullin, Louwe B. Kuijer
2024TIMAT: Temporal Information Multi-Agent Transformer.
Qitong Kang, Fuyong Wang, Zhongxin Liu, Zengqiang Chen
2024Taking Agent-Based Social Simulation to the Next Level Using Exascale Computing: Potential Use-Cases, Capacity Requirements and Threats.
Matthew P. Hare, Doug Salt, Ric Colasanti, Richard Milton, Mike Batty, Alison J. Heppenstall, Gary Polhill
2024TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-agent Reinforcement Learning.
Qirui Mi, Siyu Xia, Yan Song, Haifeng Zhang, Shenghao Zhu, Jun Wang
2024Team Performance and User Satisfaction in Mixed Human-Agent Teams.
Sami Abuhaimed, Sandip Sen
2024The Cognitive Hourglass: Agent Abstractions in the Large Models Era.
Alessandro Ricci, Stefano Mariani, Franco Zambonelli, Samuele Burattini, Cristiano Castelfranchi
2024The Multi-agent System based on LLM for Online Discussions.
Yihan Dong
2024The Parameterized Complexity of Welfare Guarantees in Schelling Segregation.
Argyrios Deligkas, Eduard Eiben, Tiger-Lily Goldsmith
2024The Reasons that Agents Act: Intention and Instrumental Goals.
Francis Rhys Ward, Matt MacDermott, Francesco Belardinelli, Francesca Toni, Tom Everitt
2024The Selfishness Level of Social Dilemmas.
Stefan Roesch, Stefanos Leonardos, Yali Du
2024The Stochastic Evolutionary Dynamics of Softmax Policy Gradient in Games.
Chin-wing Leung, Shuyue Hu, Ho-fung Leung
2024The Triangles of Dishonesty: Modelling the Evolution of Lies, Bullshit, and Deception in Agent Societies.
Stefan Sarkadi, Peter R. Lewis
2024Think Global, Act Local - Agent-Based Inline Recovery for Airline Operations.
Yashovardhan S. Chati, Ramasubramanian Suriyanarayanan, Arunchandar Vasan
2024Tight Approximations for Graphical House Allocation.
Hadi Hosseini, Andrew McGregor, Rik Sengupta, Rohit Vaish, Vignesh Viswanathan
2024Time-Constrained Restless Multi-Armed Bandits with Applications to City Service Scheduling.
Yi Mao, Andrew Perrault
2024To Lead or to be Led: A Generalized Condorcet Jury Theorem under Dependence.
Jonas Karge, Juliette-Michelle Burkhardt, Sebastian Rudolph, Dominik Rusovac
2024Toward Explainable Agent Behaviour.
Victor Gimenez-Abalos
2024Toward Socially Friendly Autonomous Driving Using Multi-agent Deep Reinforcement Learning.
Jhih-Ching Yeh, Von-Wun Soo
2024Toward a Normative Approach for Resilient Multiagent Systems: A Summary.
Geeta Mahala, Özgür Kafali, Hoa Khanh Dam, Aditya Ghose, Munindar P. Singh
2024Toward a Quality Model for Hybrid Intelligence Teams.
Davide Dell'Anna, Pradeep K. Murukannaiah, Bernd Dudzik, Davide Grossi, Catholijn M. Jonker, Catharine Oertel, Pinar Yolum
2024Towards Efficient Auction Design with ROI Constraints.
Xinyu Tang, Hongtao Lv, Yingjie Gao, Fan Wu, Lei Liu, Lizhen Cui
2024Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs with Recurrent Message Passing.
Jannis Weil, Zhenghua Bao, Osama Abboud, Tobias Meuser
2024Towards Socially-Acceptable Multi-Criteria Resolution of the 4D-Contracts Repair Problem.
Youssef Hamadi, Gauthier Picard
2024Towards Sustainable Human-Agent Teams: A Framework for Understanding Human-Agent Team Dynamics.
Rui Prada, Astrid C. Homan, Gerben A. van Kleef
2024Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning.
Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
2024Towards Zero Shot Learning in Restless Multi-armed Bandits.
Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe
2024Towards a Principle-based Framework for Repair Selection in Inconsistent Knowledge Bases.
Saïd Jabbour, Yue Ma, Badran Raddaoui
2024Towards building Autonomous AI Agents and Robots for Open World Environments.
Shivam Goel
2024Trust in Shapley: A Cooperative Quest for Global Trust in P2P Network.
Arti Bandhana, Tomás Kroupa, Sebastián García
2024Trustworthy Reinforcement Learning: Opportunities and Challenges.
Ann Nowé
2024Truthful and Stable One-sided Matching on Networks.
Tianyi Yang, Yuxiang Zhai, Dengji Zhao, Xinwei Song, Miao Li
2024Uncoupled Learning of Differential Stackelberg Equilibria with Commitments.
Robert T. Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek
2024Understanding the Impact of Promotions on Consumer Behavior.
Jarod Vanderlynden, Philippe Mathieu, Romain Warlop
2024Unifying Regret and State-Action Space Coverage for Effective Unsupervised Environment Design.
Jayden Teoh Jing Teoh, Wenjun Li, Pradeep Varakantham
2024Unlocking the Potential of Machine Ethics with Explainability.
Timo Speith
2024Unraveling the Tapestry of Deception and Personality: A Deep Dive into Multi-Issue Human-Agent Negotiation Dynamics.
Nusrath Jahan, Johnathan Mell
2024User-centric Explanation Strategies for Interactive Recommenders.
Berk Buzcu, Emre Kuru, Reyhan Aydogan
2024Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning.
Peter Vamplew, Cameron Foale, Conor F. Hayes, Patrick Mannion, Enda Howley, Richard Dazeley, Scott Johnson, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Willem Röpke, Diederik M. Roijers
2024Value Alignment in Participatory Budgeting.
Marc Serramia, Maite López-Sánchez, Juan A. Rodríguez-Aguilar, Stefano Moretti
2024Value-based Resource Matching with Fairness Criteria: Application to Agricultural Water Trading.
Abhijin Adiga, Yohai Trabelsi, Tanvir Ferdousi, Madhav V. Marathe, S. S. Ravi, Samarth Swarup, Anil Kumar S. Vullikanti, Mandy L. Wilson, Sarit Kraus, Reetwika Basu, Supriya Savalkar, Matthew Yourek, Michael Brady, Kirti Rajagopalan, Jonathan Yoder
2024Verification of Stochastic Multi-Agent Systems with Forgetful Strategies.
Francesco Belardinelli, Wojtek Jamroga, Munyque Mittelmann, Aniello Murano
2024Verifying Proportionality in Temporal Voting.
Edith Elkind, Svetlana Obraztsova, Nicholas Teh
2024Veto Core Consistent Preference Aggregation.
Aleksei Y. Kondratev, Egor Ianovski
2024Viral Marketing in Social Networks with Competing Products.
Ahad N. Zehmakan, Xiaotian Zhou, Zhongzhi Zhang
2024Weighted Proportional Allocations of Indivisible Goods and Chores: Insights via Matchings.
Vishwa Prakash HV, Prajakta Nimbhorkar
2024When is Mean-Field Reinforcement Learning Tractable and Relevant?
Batuhan Yardim, Artur Goldman, Niao He
2024Which Games are Unaffected by Absolute Commitments?
Daji Landis, Nikolaj I. Schwartzbach
2024Who gets the Maximal Extractable Value? A Dynamic Sharing Blockchain Mechanism.
Pedro Braga, Georgios Chionas, Piotr Krysta, Stefanos Leonardos, Georgios Piliouras, Carmine Ventre
2024Whom to Trust? Elective Learning for Distributed Gaussian Process Regression.
Zewen Yang, Xiaobing Dai, Akshat Dubey, Sandra Hirche, Georges Hattab
2024Willy Wonka Mechanisms.
Thomas Archbold, Bart de Keijzer, Carmine Ventre
2024flame: A Framework for Learning in Agent-based ModEls.
Ayush Chopra, Jayakumar Subramanian, Balaji Krishnamurthy, Ramesh Raskar
2024pgeon applied to Overcooked-AI to explain agents' behaviour.
Adrián Tormos, Victor Gimenez-Abalos, Javier Vázquez-Salceda, Sergio Álvarez-Napagao
2024vMFER: 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, Changjie Fan