| 2023 | 'Why didn't you allocate this task to them?' Negotiation-Aware Explicable Task Allocation and Contrastive Explanation Generation. Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati |
| 2023 | (Arbitrary) Partial Communication. Rustam Galimullin, Fernando R. Velázquez-Quesada |
| 2023 | A Behaviour-Driven Approach for Testing Requirements via User and System Stories in Agent Systems. Sebastian Rodriguez, John Thangarajah, Michael Winikoff |
| 2023 | A Brief Guide to Multi-Objective Reinforcement Learning and Planning. Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers |
| 2023 | A Cloud-Based Solution for Multi-Agent Traffic Control Systems. Chikadibia Ihejimba, Behnam Torabi, Rym Z. Wenkstern |
| 2023 | A Comparison of New Swarm Task Allocation Algorithms in Unknown Environments with Varying Task Density. Grace Cai, Noble C. Harasha, Nancy A. Lynch |
| 2023 | A Decentralized Multiagent-Based Task Scheduling Framework for Handling Uncertain Events in Fog Computing. Yikun Yang, Fenghui Ren, Minjie Zhang |
| 2023 | A Deep Reinforcement Learning Approach for Online Parcel Assignment. Hao Zeng, Qiong Wu, Kunpeng Han, Junying He, Haoyuan Hu |
| 2023 | A Deontic Logic of Knowingly Complying. Carlos Areces, Valentin Cassano, Pablo F. Castro, Raul Fervari, Andrés R. Saravia |
| 2023 | A Formal Framework for Deceptive Topic Planning in Information-Seeking Dialogues. Andreas Brännström, Virginia Dignum, Juan Carlos Nieves |
| 2023 | A Hotelling-Downs Game for Strategic Candidacy with Binary Issues. Javier Maass, Vincent Mousseau, Anaëlle Wilczynski |
| 2023 | A Hybrid Framework of Reinforcement Learning and Physics-Informed Deep Learning for Spatiotemporal Mean Field Games. Xu Chen, Shuo Liu, Xuan Di |
| 2023 | A Learning Approach to Complex Contagion Influence Maximization. Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe |
| 2023 | A Logic of Only-Believing over Arbitrary Probability Distributions. Qihui Feng, Daxin Liu, Vaishak Belle, Gerhard Lakemeyer |
| 2023 | A Map of Diverse Synthetic Stable Roommates Instances. Niclas Boehmer, Klaus Heeger, Stanislaw Szufa |
| 2023 | A Nash-Bargaining-Based Mechanism for One-Sided Matching Markets and Dichotomous Utilities. Jugal Garg, Thorben Tröbst, Vijay V. Vazirani |
| 2023 | A Novel Aggregation Framework for the Efficient Integration of Distributed Energy Resources in the Smart Grid. Stavros Orfanoudakis, Georgios Chalkiadakis |
| 2023 | A Novel Demand Response Model and Method for Peak Reduction in Smart Grids - PowerTAC. Sanjay Chandlekar, Arthik Boroju, Shweta Jain, Sujit Gujar |
| 2023 | A Redistribution Framework for Diffusion Auctions. Sizhe Gu, Yao Zhang, Yida Zhao, Dengji Zhao |
| 2023 | A Scalable Opponent Model Using Bayesian Learning for Automated Bilateral Multi-Issue Negotiation. Shengbo Chang, Katsuhide Fujita |
| 2023 | A Self-Organizing Neuro-Fuzzy Q-Network: Systematic Design with Offline Hybrid Learning. John Wesley Hostetter, Mark Abdelshiheed, Tiffany Barnes, Min Chi |
| 2023 | A Semantic Approach to Decidability in Epistemic Planning. Alessandro Burigana, Paolo Felli, Marco Montali, Nicolas Troquard |
| 2023 | A Study of Nash Equilibria in Multi-Objective Normal-Form Games. Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu |
| 2023 | A Teachable Agent to Enhance Elderly's Ikigai. Ping Chen, Xinjia Yu, Su Fang Lim, Zhiqi Shen |
| 2023 | A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication. Nancirose Piazza, Vahid Behzadan |
| 2023 | A Toolkit for Encouraging Safe Diversity in Skill Discovery. Maxence Hussonnois |
| 2023 | A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning. Woojun Kim, Whiyoung Jung, Myungsik Cho, Youngchul Sung |
| 2023 | A Web-based Tool for Detecting Argument Validity and Novelty. Sandrine Chausson, Ameer Saadat-Yazdi, Xue Li, Jeff Z. Pan, Vaishak Belle, Nadin Kökciyan, Björn Ross |
| 2023 | AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning. Xuefeng Wang, Xinran Li, Jiawei Shao, Jun Zhang |
| 2023 | AI & Multi-agent Systems for Data-centric Epidemic Forecasting. Alexander Rodríguez |
| 2023 | AI-driven Prices for Externalities and Sustainability in Production Markets. Panayiotis Danassis, Aris Filos-Ratsikas, Haipeng Chen, Milind Tambe, Boi Faltings |
| 2023 | AJAR: An Argumentation-based Judging Agents Framework for Ethical Reinforcement Learning. Benoît Alcaraz, Olivier Boissier, Rémy Chaput, Christopher Leturc |
| 2023 | Abstracting Noisy Robot Programs. Till Hofmann, Vaishak Belle |
| 2023 | Accelerating Neural MCTS Algorithms using Neural Sub-Net Structures. Prashank Kadam, Ruiyang Xu, Karl J. Lieberherr |
| 2023 | Achieving Near-optimal Regrets in Confounded Contextual Bandits. Xueping Gong, Jiheng Zhang |
| 2023 | Actions, Continuous Distributions and Meta-Beliefs. Vaishak Belle |
| 2023 | Adapting Stable Matchings to Forced and Forbidden Pairs. Niclas Boehmer, Klaus Heeger |
| 2023 | Adaptive Learning Rates for Multi-Agent Reinforcement Learning. Jiechuan Jiang, Zongqing Lu |
| 2023 | Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu |
| 2023 | Adversarial Inverse Reinforcement Learning for Mean Field Games. Yang Chen, Libo Zhang, Jiamou Liu, Michael Witbrock |
| 2023 | Adversarial Link Prediction in Spatial Networks. Michal Tomasz Godziszewski, Yevgeniy Vorobeychik, Tomasz P. Michalak |
| 2023 | Agent-Based Modeling of Human Decision-makers Under Uncertain Information During Supply Chain Shortages. Nutchanon Yongsatianchot, Noah Chicoine, Jacqueline A. Griffin, Özlem Ergun, Stacy Marsella |
| 2023 | Agent-based Simulation of District-based Elections with Heterogeneous Populations. Adway Mitra |
| 2023 | Agent-directed Runtime Norm Synthesis. Andreasa Morris-Martin, Marina De Vos, Julian A. Padget, Oliver Ray |
| 2023 | Algorithmic Fairness in Temporal Resource Allocation. Ashwin Kumar |
| 2023 | Allocation Problem in Remote Teleoperation: Online Matching with Offline Reusable Resources and Delayed Assignments. Osnat Ackerman Viden, Yohai Trabelsi, Pan Xu, Karthik Abinav Sankararaman, Oleg Maksimov, Sarit Kraus |
| 2023 | Altruism in Facility Location Problems. Houyu Zhou, Hau Chan, Minming Li |
| 2023 | Altruism, Collectivism and Egalitarianism: On a Variety of Prosocial Behaviors in Binary Networked Public Goods Games. Jichen Li, Xiaotie Deng, Yukun Cheng, Yuqi Pan, Xuanzhi Xia, Zongjun Yang, Jan Xie |
| 2023 | An Adversarial Strategic Game for Machine Learning as a Service using System Features. Guoxin Sun, Tansu Alpcan, Seyit Camtepe, Andrew C. Cullen, Benjamin I. P. Rubinstein |
| 2023 | An Analysis of Connections Between Regret Minimization and Actor Critic Methods in Cooperative Settings. Chirag Chhablani, Ian A. Kash |
| 2023 | Analysis of a Learning Based Algorithm for Budget Pacing. MohammadTaghi Hajiaghayi, Max Springer |
| 2023 | Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization. Nasik Muhammad Nafi, Raja Farrukh Ali, William H. Hsu |
| 2023 | Anonymous Multi-Agent Path Finding with Individual Deadlines. Gilad Fine, Dor Atzmon, Noa Agmon |
| 2023 | Approximation Algorithm for Computing Budget-Feasible EF1 Allocations. Jiarui Gan, Bo Li, Xiaowei Wu |
| 2023 | Argument-based Explanation Functions. Leila Amgoud, Philippe Muller, Henri Trenquier |
| 2023 | Artificial Intelligence Algorithms for Strategic Reasoning over Complex Multiagent Systems. Zun Li |
| 2023 | Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration. Tatiana Chakravorti, Vaibhav Singh, Sarah Rajtmajer, Michael McLaughlin, Robert Fraleigh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles |
| 2023 | Ask and You Shall be Served: Representing & Solving Multi-agentOptimization Problems with Service Requesters and Providers. Maya Lavie, Tehila Caspi, Omer Lev, Roie Zivan |
| 2023 | Assigning Agents to Increase Network-Based Neighborhood Diversity. Zirou Qiu, Andrew Yuan, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti |
| 2023 | Assistive Robotics for Empowering Humans with Visual Impairments to Independently Perform Day-to-day Tasks. Shivendra Agrawal |
| 2023 | Asymptotic Convergence and Performance of Multi-Agent Q-learning Dynamics. Aamal Abbas Hussain, Francesco Belardinelli, Georgios Piliouras |
| 2023 | Asynchronous Communication Aware Multi-Agent Task Allocation. Ben Rachmut, Sofia Amador Nelke, Roie Zivan |
| 2023 | Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration. Chao Yu, Xinyi Yang, Jiaxuan Gao, Jiayu Chen, Yunfei Li, Jijia Liu, Yunfei Xiang, Ruixin Huang, Huazhong Yang, Yi Wu, Yu Wang |
| 2023 | Attention! Dynamic Epistemic Logic Models of (In)attentive Agents. Gaia Belardinelli, Thomas Bolander |
| 2023 | Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty. Thomy Phan, Fabian Ritz, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien |
| 2023 | Automated Task-Time Interventions to Improve Teamwork using Imitation Learning. Sangwon Seo, Bing Han, Vaibhav V. Unhelkar |
| 2023 | Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning. Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew E. Taylor, Mykola Pechenizkiy, Decebal Constantin Mocanu |
| 2023 | Avoiding Starvation of Arms in Restless Multi-Armed Bandits. Dexun Li, Pradeep Varakantham |
| 2023 | Axiomatic Analysis of Medial Centrality Measures. Wiktoria Kosny, Oskar Skibski |
| 2023 | Balancing Fairness and Efficiency in Transport Network Design through Reinforcement Learning. Dimitris Michailidis, Sennay Ghebreab, Fernando P. Santos |
| 2023 | Bayes-Adaptive Monte-Carlo Planning for Type-Based Reasoning in Large Partially Observable, Multi-Agent Environments. Jonathon Schwartz, Hanna Kurniawati |
| 2023 | Being an Influencer is Hard: The Complexity of Influence Maximization in Temporal Graphs with a Fixed Source. Argyrios Deligkas, Eduard Eiben, Tiger-Lily Goldsmith, George Skretas |
| 2023 | Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO. Yangkun Chen, Joseph Suarez, Junjie Zhang, ChengHui Yu, Bo Wu, Hanmo Chen, Hengman Zhu, Rui Du, Shanliang Qian, Shuai Liu, Weijun Hong, Jinke He, Yibing Zhang, Liang Zhao, Clare Zhu, Julian Togelius, Sharada P. Mohanty, Jiaxin Chen, Xiu Li, Xiaolong Zhu, Phillip Isola |
| 2023 | Best of Both Worlds Fairness under Entitlements. Haris Aziz, Aditya Ganguly, Evi Micha |
| 2023 | Best of Both Worlds: Agents with Entitlements. Martin Hoefer, Marco Schmalhofer, Giovanna Varricchio |
| 2023 | Bilevel Entropy based Mechanism Design for Balancing Meta in Video Games. Sumedh Pendurkar, Chris Chow, Luo Jie, Guni Sharon |
| 2023 | Bipartite Matching for Repeated Allocation Problems. Yohai Trabelsi |
| 2023 | Blame Attribution for Multi-Agent Pathfinding Execution Failures. Avraham Natan, Roni Stern, Meir Kalech |
| 2023 | Bounded Approval Ballots: Balancing Expressiveness and Simplicity for Multiwinner Elections. Dorothea Baumeister, Linus Boes, Christian Laußmann, Simon Rey |
| 2023 | Bounded and Unbounded Verification of RNN-Based Agents in Non-deterministic Environments. Mehran Hosseini, Alessio Lomuscio |
| 2023 | Bribery Can Get Harder in Structured Multiwinner Approval Election. Bartosz Kusek, Robert Bredereck, Piotr Faliszewski, Andrzej Kaczmarczyk, Dusan Knop |
| 2023 | Bridging the Gap Between Single and Multi Objective Games. Willem Röpke, Carla Groenland, Roxana Radulescu, Ann Nowé, Diederik M. Roijers |
| 2023 | Bringing Diversity to Autonomous Vehicles: An Interpretable Multi-vehicle Decision-making and Planning Framework. Licheng Wen, Pinlong Cai, Daocheng Fu, Song Mao, Yikang Li |
| 2023 | Budget-Feasible Mechanism Design for Cost-Benefit Optimization in Gradual Service Procurement. Farzaneh Farhadi, Maria Chli, Nicholas R. Jennings |
| 2023 | Byzantine Resilience at Swarm Scale: A Decentralized Blocklist Protocol from Inter-robot Accusations. Kacper Wardega, Max von Hippel, Roberto Tron, Cristina Nita-Rotaru, Wenchao Li |
| 2023 | CAMS: Collision Avoiding Max-Sum for Mobile Sensor Teams. Arseni Pertzovskiy, Roie Zivan, Noa Agmon |
| 2023 | COBAI : A Generic Agent-based Model of Human Behaviors Centered on Contexts and Interactions. Maëlle Beuret, Irène Foucherot, Christian Gentil, Joël Savelli |
| 2023 | Capturing Hiders with Moving Obstacles. Ayushman Panda, Kamalakar Karlapalem |
| 2023 | Causal Explanations for Sequential Decision Making Under Uncertainty. Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman, Shlomo Zilberstein |
| 2023 | Causality Detection for Efficient Multi-Agent Reinforcement Learning. Rafael Pina, Varuna De Silva, Corentin Artaud |
| 2023 | Cedric: A Collaborative DDoS Defense System Using Credit. Jiawei Li, Hui Wang, Jilong Wang |
| 2023 | Centralized Cooperative Exploration Policy for Continuous Control Tasks. Chao Li, Chen Gong, Qiang He, Xinwen Hou, Yu Liu |
| 2023 | Characterizations of Sequential Valuation Rules. Chris Dong, Patrick Lederer |
| 2023 | Characterizing Fairness in Societal Resource Allocation. Tasfia Mashiat |
| 2023 | Citizen Centric Demand Responsive Transport. Alexander Masterman |
| 2023 | Citizen-Centric Multiagent Systems. Sebastian Stein, Vahid Yazdanpanah |
| 2023 | Co-evolution of Social and Non-social Guilt in Structured Populations. Theodor Cimpeanu, Luís Moniz Pereira, The Anh Han |
| 2023 | CoRaL: Continual Representation Learning for Overcoming Catastrophic Forgetting. Mohammad Samin Yasar, Tariq Iqbal |
| 2023 | Coalition Formation in Sequential Decision-Making under Uncertainty. Saar Cohen |
| 2023 | Cognitive Bias-Aware Dissemination Strategies for Opinion Dynamics with External Information Sources. Abdullah Al Maruf, Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran |
| 2023 | Collecting, Classifying, Analyzing, and Using Real-World Ranking Data. Niclas Boehmer, Nathan Schaar |
| 2023 | Common Sense: The Dark Matter of Language and Intelligence. Yejin Choi |
| 2023 | Communicating Agent Intentions for Human-Agent Decision Making under Uncertainty. Julie Porteous, Alan Lindsay, Fred Charles |
| 2023 | Communication Meaning: Foundations and Directions for Systems Research. Amit K. Chopra, Samuel H. Christie V. |
| 2023 | Computational Complexity of Verifying the Group No-show Paradox. Farhad Mohsin, Qishen Han, Sikai Ruan, Pin-Yu Chen, Francesca Rossi, Lirong Xia |
| 2023 | Computationally Feasible Strategies. Catalin Dima, Wojciech Jamroga |
| 2023 | Computing the Best Policy that Survives a Vote. Andrei Constantinescu, Roger Wattenhofer |
| 2023 | Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic. Xiangguo Liu, Ruochen Jiao, Bowen Zheng, Dave Liang, Qi Zhu |
| 2023 | Contests and Other Topics in Multi-Agent Systems. Abheek Ghosh |
| 2023 | Context-aware Agents based on Psychological Archetypes for Teamwork. Anupama Arukgoda, Erandi Lakshika, Michael Barlow, Kasun Gunawardana |
| 2023 | Contextual Integrity for Argumentation-based Privacy Reasoning. Gideon Ogunniye, Nadin Kökciyan |
| 2023 | Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills. Maxence Hussonnois, Thommen George Karimpanal, Santu Rana |
| 2023 | Coordination of Multiple Robots along Given Paths with Bounded Junction Complexity. Mikkel Abrahamsen, Tzvika Geft, Dan Halperin, Barak Ugav |
| 2023 | Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil |
| 2023 | Cost Sharing under Private Valuation and Connection Control. Tianyi Zhang, Junyu Zhang, Sizhe Gu, Dengji Zhao |
| 2023 | Counterexample-Guided Policy Refinement in Multi-Agent Reinforcement Learning. Briti Gangopadhyay, Pallab Dasgupta, Soumyajit Dey |
| 2023 | Counterfactual Explanations for Reinforcement Learning Agents. Jasmina Gajcin |
| 2023 | Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation. Hikaru Asano, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno |
| 2023 | Counterfactually Fair Dynamic Assignment: A Case Study on Policing. Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala, Sanmay Das |
| 2023 | CraftEnv: A Flexible Collective Robotic Construction Environment for Multi-Agent Reinforcement Learning. Rui Zhao, Xu Liu, Yizheng Zhang, Minghao Li, Cheng Zhou, Shuai Li, Lei Han |
| 2023 | Crowd Simulation Incorporating a Route Choice Model and Similarity Evaluation using Real Large-scale Data. Ryo Nishida, Masaki Onishi, Koichi Hashimoto |
| 2023 | Curriculum Offline Reinforcement Learning. Yuanying Cai, Chuheng Zhang, Hanye Zhao, Li Zhao, Jiang Bian |
| 2023 | D-Shape: Demonstration-Shaped Reinforcement Learning via Goal-Conditioning. Caroline Wang, Garrett Warnell, Peter Stone |
| 2023 | DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. Wenze Chen, Shiyu Huang, Yuan Chiang, Ting Chen, Jun Zhu |
| 2023 | Data Structures for Deviation Payoffs. Bryce Wiedenbeck, Erik Brinkman |
| 2023 | Debt Transfers in Financial Networks: Complexity and Equilibria. Panagiotis Kanellopoulos, Maria Kyropoulou, Hao Zhou |
| 2023 | Dec-AIRL: Decentralized Adversarial IRL for Human-Robot Teaming. Prasanth Sengadu Suresh, Yikang Gui, Prashant Doshi |
| 2023 | Decentralised and Cooperative Control of Multi-Robot Systems through Distributed Optimisation. Yi Dong, Zhongguo Li, Xingyu Zhao, Zhengtao Ding, Xiaowei Huang |
| 2023 | Decentralized Core-periphery Structure in Social Networks Accelerates Cultural Innovation in Agent-based Modeling. Jesse Milzman, Cody Moser |
| 2023 | Decentralized Model-Free Reinforcement Learning in Stochastic Games with Average-Reward Objective. Romain Cravic, Nicolas Gast, Bruno Gaujal |
| 2023 | Decentralized Safe Navigation for Multi-agent Systems via Risk-aware Weighted Buffered Voronoi Cells. Yiwei Lyu, John M. Dolan, Wenhao Luo |
| 2023 | Deep Learning-Powered Iterative Combinatorial Auctions with Active Learning. Benjamin Estermann, Stefan Kramer, Roger Wattenhofer, Ye Wang |
| 2023 | Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City. Varun Madhavan, Adway Mitra, Partha Pratim Chakrabarti |
| 2023 | Defensive Collaborative Learning: Protecting Objective Privacy in Data Sharing. Cynthia Huang, Pascal Poupart |
| 2023 | Defining Deception in Structural Causal Games. Francis Rhys Ward, Francesca Toni, Francesco Belardinelli |
| 2023 | Deliberation as Evidence Disclosure: A Tale of Two Protocol Types. Julian Chingoma, Adrian Haret |
| 2023 | Demonstrating Performance Benefits of Human-Swarm Teaming. William Hunt, Jack Ryan, Ayodeji Opeyemi Abioye, Sarvapali D. Ramchurn, Mohammad Divband Soorati |
| 2023 | Differentiable Agent-based Epidemiology. Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar |
| 2023 | Differentiable Arbitrating in Zero-sum Markov Games. Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu |
| 2023 | Differentially Private Diffusion Auction: The Single-unit Case. Fengjuan Jia, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov |
| 2023 | Differentially Private Network Data Collection for Influence Maximization. M. Amin Rahimian, Fang-Yi Yu, Carlos Hurtado |
| 2023 | Diffusion Multi-unit Auctions with Diminishing Marginal Utility Buyers. Haolin Liu, Xinyuan Lian, Dengji Zhao |
| 2023 | Distance Hypergraph Polymatrix Coordination Games. Alessandro Aloisio |
| 2023 | Distortion in Attribute Approval Committee Elections. Dorothea Baumeister, Linus Boes |
| 2023 | Distributed Mechanism Design in Social Networks. Haoxin Liu, Yao Zhang, Dengji Zhao |
| 2023 | Distributed Planning with Asynchronous Execution with Local Navigation for Multi-agent Pickup and Delivery Problem. Yuki Miyashita, Tomoki Yamauchi, Toshiharu Sugawara |
| 2023 | Diverse Policy Optimization for Structured Action Space. Wenhao Li, Baoxiang Wang, Shanchao Yang, Hongyuan Zha |
| 2023 | Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition. Peter Sunehag, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán, Igor Mordatch, Joel Z. Leibo |
| 2023 | Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning. Chaitanya Kharyal, Tanmay Kumar Sinha, Sai Krishna Gottipati, Fatemeh Abdollahi, Srijita Das, Matthew E. Taylor |
| 2023 | Do Explanations Improve the Quality of AI-assisted Human Decisions? An Algorithm-in-the-Loop Analysis of Factual & Counterfactual Explanations. Lujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai |
| 2023 | Does Delegating Votes Protect Against Pandering Candidates? Xiaolin Sun, Jacob Masur, Ben Abramowitz, Nicholas Mattei, Zizhan Zheng |
| 2023 | Domain-Expert Configuration of Hypermedia Multi-Agent Systems in Industrial Use Cases. Jérémy Lemée, Samuele Burattini, Simon Mayer, Andrei Ciortea |
| 2023 | Domain-Independent Deceptive Planning. Adrian Price, Ramon Fraga Pereira, Peta Masters, Mor Vered |
| 2023 | Don't Simulate Twice: One-Shot Sensitivity Analyses via Automatic Differentiation. Arnau Quera-Bofarull, Ayush Chopra, Joseph Aylett-Bullock, Carolina Cuesta-Lázaro, Anisoara Calinescu, Ramesh Raskar, Michael J. Wooldridge |
| 2023 | EXPODE: EXploiting POlicy Discrepancy for Efficient Exploration in Multi-agent Reinforcement Learning. Yucong Zhang, Chao Yu |
| 2023 | Effective Human-Machine Teaming through Communicative Autonomous Agents that Explain, Coach, and Convince. Aaquib Tabrez |
| 2023 | Effectiveness of Teamwork-Level Interventions through Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task. David V. Pynadath, Nikolos Gurney, Sarah Kenny, Rajay Kumar, Stacy C. Marsella, Haley Matuszak, Hala Mostafa, Pedro Sequeira, Volkan Ustun, Peggy Wu |
| 2023 | Efficient Interactive Recommendation via Huffman Tree-based Policy Learning. Longxiang Shi, Zilin Zhang, Shoujin Wang, Binbin Zhou, Minghui Wu, Cheng Yang, Shijian Li |
| 2023 | Efficient Nearly-Fair Division with Capacity Constraints. Hila Shoshan, Noam Hazon, Erel Segal-Halevi |
| 2023 | Efficient Stackelberg Strategies for Finitely Repeated Games. Natalie Collina, Eshwar Ram Arunachaleswaran, Michael Kearns |
| 2023 | Emergence of Cooperation on Networks. Jacques Bara |
| 2023 | Emergence of Norms in Interactions with Complex Rewards. Dhaminda B. Abeywickrama, Nathan Griffiths, Zhou Xu, Alex Mouzakitis |
| 2023 | Emergent Compositional Concept Communication through Mutual Information in Multi-Agent Teams. Seth Karten, Siva Kailas, Katia P. Sycara |
| 2023 | Emergent Responsible Autonomy in Multi-Agent Systems. Jayati Deshmukh |
| 2023 | Emotion Contagion in Agent-based Simulations of Crowds: A Systematic Review. Erik van Haeringen, Charlotte Gerritsen, Koen V. Hindriks |
| 2023 | Empirical Game-Theoretic Analysis for Mean Field Games. Yongzhao Wang, Michael P. Wellman |
| 2023 | Enabling Imitation-Based Cooperation in Dynamic Social Networks. Jacques Bara, Paolo Turrini, Giulia Andrighetto |
| 2023 | End-to-End Optimization and Learning for Multiagent Ensembles. James Kotary, Vincenzo Di Vito, Ferdinando Fioretto |
| 2023 | Energy-aware UAV Path Planning with Adaptive Speed. Jonathan Diller, Qi Han |
| 2023 | Enhancing Reinforcement Learning Agents with Local Guides. Paul Daoudi, Bogdan Robu, Christophe Prieur, Ludovic Dos Santos, Merwan Barlier |
| 2023 | Enhancing Smart, Sustainable Mobility with Game Theory and Multi-Agent Reinforcement Learning. Lucia Cipolina-Kun |
| 2023 | Enhancing User Understanding of Reinforcement Learning Agents Through Visual Explanations. Yotam Amitai |
| 2023 | Epistemic Abstract Argumentation Framework: Formal Foundations, Computation and Complexity. Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna |
| 2023 | Epistemic Side Effects: An AI Safety Problem. Toryn Q. Klassen, Parand Alizadeh Alamdari, Sheila A. McIlraith |
| 2023 | Equilibria and Convergence in Fire Sale Games. Nils Bertschinger, Martin Hoefer, Simon Krogmann, Pascal Lenzner, Steffen Schuldenzucker, Lisa Wilhelmi |
| 2023 | Equilibrium Bandits: Learning Optimal Equilibria of Unknown Dynamics. Siddharth Chandak, Ilai Bistritz, Nicholas Bambos |
| 2023 | Equitability and Welfare Maximization for Allocating Indivisible Items. Ankang Sun, Bo Chen, Xuan Vinh Doan |
| 2023 | Error in the Euclidean Preference Model. Luke Thorburn, Maria Polukarov, Carmine Ventre |
| 2023 | Establishing Shared Query Understanding in an Open Multi-Agent System. Nikolaos Kondylidis, Ilaria Tiddi, Annette ten Teije |
| 2023 | Evaluating a Mechanism for Explaining BDI Agent Behaviour. Michael Winikoff, Galina Sidorenko |
| 2023 | ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search. Dixant Mittal, Siddharth Aravindan, Wee Sun Lee |
| 2023 | Explain to Me: Towards Understanding Privacy Decisions. Gonul Ayci, Arzucan Özgür, Murat Sensoy, Pinar Yolum |
| 2023 | Explainable Ensemble Classification Model based on Argumentation. Nadia Abchiche-Mimouni, Leila Amgoud, Farida Zehraoui |
| 2023 | Explaining Agent Preferences and Behavior: Integrating Reward Decomposition and Contrastive Highlights. Yael Septon, Yotam Amitai, Ofra Amir |
| 2023 | Explanation Styles for Trustworthy Autonomous Systems. David A. Robb, Xingkun Liu, Helen Hastie |
| 2023 | Explanation through Dialogue for Reasoning Systems. Yifan Xu |
| 2023 | Explicit Payments for Obviously Strategyproof Mechanisms. Diodato Ferraioli, Carmine Ventre |
| 2023 | Facility Location Games with Thresholds. Houyu Zhou, Guochuan Zhang, Lili Mei, Minming Li |
| 2023 | Fair Allocation of Two Types of Chores. Haris Aziz, Jeremy Lindsay, Angus Ritossa, Mashbat Suzuki |
| 2023 | Fair Chore Division under Binary Supermodular Costs. Siddharth Barman, Vishnu V. Narayan, Paritosh Verma |
| 2023 | Fair Facility Location for Socially Equitable Representation. Helen Sternbach, Sara Cohen |
| 2023 | Fair Pricing for Time-Flexible Smart Energy Markets. Roland Saur, Han La Poutré, Neil Yorke-Smith |
| 2023 | Fair Transport Network Design using Multi-Agent Reinforcement Learning. Dimitris Michailidis |
| 2023 | Fairly Allocating (Contiguous) Dynamic Indivisible Items with Few Adjustments. Mingwei Yang |
| 2023 | Fairly Dividing Mixtures of Goods and Chores under Lexicographic Preferences. Hadi Hosseini, Sujoy Sikdar, Rohit Vaish, Lirong Xia |
| 2023 | Fairness Driven Efficient Algorithms for Sequenced Group Trip Planning Query Problem. Napendra Solanki, Shweta Jain, Suman Banerjee, Yayathi Pavan Kumar S |
| 2023 | Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks. Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz, Susobhan Ghosh, Milind Tambe |
| 2023 | Fairness in Participatory Budgeting via Equality of Resources. Jan Maly, Simon Rey, Ulle Endriss, Martin Lackner |
| 2023 | Fairness in the Assignment Problem with Uncertain Priorities. Zeyu Shen, Zhiyi Wang, Xingyu Zhu, Brandon Fain, Kamesh Munagala |
| 2023 | Feature-based Individual Fairness in k-clustering. Debajyoti Kar, Mert Kosan, Debmalya Mandal, Sourav Medya, Arlei Silva, Palash Dey, Swagato Sanyal |
| 2023 | FedFormer: Contextual Federation with Attention in Reinforcement Learning. Liam Hebert, Lukasz Golab, Pascal Poupart, Robin Cohen |
| 2023 | FedHQL: Federated Heterogeneous Q-Learning. Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low |
| 2023 | FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation. Yan Shen, Jian Du, Han Zhao, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao |
| 2023 | Feedback-Guided Intention Scheduling for BDI Agents. Michael Dann, John Thangarajah, Minyi Li |
| 2023 | Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games. Zelai Xu, Yancheng Liang, Chao Yu, Yu Wang, Yi Wu |
| 2023 | Finding Optimal Nash Equilibria in Multiplayer Games via Correlation Plans. Youzhi Zhang, Bo An, V. S. Subrahmanian |
| 2023 | Fine Grained Complexity of Fair and Efficient Allocations. Aditi Sethia |
| 2023 | Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning. Durgesh Kalwar, Omkar Shelke, Somjit Nath, Hardik Meisheri, Harshad Khadilkar |
| 2023 | For One and All: Individual and Group Fairness in the Allocation of Indivisible Goods. Jonathan Scarlett, Nicholas Teh, Yair Zick |
| 2023 | Formally-Sharp DAgger for MCTS: Lower-Latency Monte Carlo Tree Search using Data Aggregation with Formal Methods. Debraj Chakraborty, Damien Busatto-Gaston, Jean-François Raskin, Guillermo A. Pérez |
| 2023 | Forward-Looking and Backward-Looking Responsibility Attribution in Multi-Agent Sequential Decision Making. Stelios Triantafyllou |
| 2023 | Forward-PECVaR Algorithm: Exact Evaluation for CVaR SSPs. Willy Arthur Silva Reis, Denis Benevolo Pais, Valdinei Freire, Karina Valdivia Delgado |
| 2023 | Free-Riding in Multi-Issue Decisions. Martin Lackner, Jan Maly, Oliviero Nardi |
| 2023 | From Abstractions to Grounded Languages for Robust Coordination of Task Planning Robots. Yu Zhang |
| 2023 | From Scripts to RL Environments: Towards Imparting Commonsense Knowledge to RL Agents. Abhinav Joshi, Areeb Ahmad, Umang Pandey, Ashutosh Modi |
| 2023 | GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations. Tobias Huber, Maximilian Demmler, Silvan Mertes, Matthew L. Olson, Elisabeth André |
| 2023 | Game Model Learning for Mean Field Games. Yongzhao Wang, Michael P. Wellman |
| 2023 | Gathering of Anonymous Agents. Arnhav Datar, Nischith Shadagopan M. N, John Augustine |
| 2023 | Generating Stylistic and Personalized Dialogues for Virtual Agents in Narratives. Weilai Xu, Fred Charles, Charlie Hargood |
| 2023 | Geometric Principles of Individual and Collective Decision-Making. Iain D. Couzin |
| 2023 | Get It in Writing: Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL. Phillip J. K. Christoffersen, Andreas A. Haupt, Dylan Hadfield-Menell |
| 2023 | Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI. Malek Mechergui, Sarath Sreedharan |
| 2023 | Graphical House Allocation. Hadi Hosseini, Justin Payan, Rik Sengupta, Rohit Vaish, Vignesh Viswanathan |
| 2023 | Grey-box Adversarial Attack on Communication in Multi-agent Reinforcement Learning. Xiao Ma, Wu-Jun Li |
| 2023 | Group Fair Clustering Revisited - Notions and Efficient Algorithm. Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain |
| 2023 | Group Fairness in Peer Review. Haris Aziz, Evi Micha, Nisarg Shah |
| 2023 | HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare. Ge Gao, Song Ju, Markel Sanz Ausin, Min Chi |
| 2023 | Hedonic Games With Friends, Enemies, and Neutrals: Resolving Open Questions and Fine-Grained Complexity. Jiehua Chen, Gergely Csáji, Sanjukta Roy, Sofia Simola |
| 2023 | Heterogeneous Multi-Robot Reinforcement Learning. Matteo Bettini, Ajay Shankar, Amanda Prorok |
| 2023 | Hierarchical Reinforcement Learning for Ad Hoc Teaming. Stéphane Aroca-Ouellette, Miguel Aroca-Ouellette, Upasana Biswas, Katharina Kann, Alessandro Roncone |
| 2023 | Hierarchical Reinforcement Learning with Attention Reward. Sihong Luo, Jinghao Chen, Zheng Hu, Chunhong Zhang, Benhui Zhuang |
| 2023 | Hierarchical Reinforcement Learning with Human-AI Collaborative Sub-Goals Optimization. Haozhe Ma, Thanh Vinh Vo, Tze-Yun Leong |
| 2023 | Hiking up that HILL with Cogment-Verse: Train & Operate Multi-agent Systems Learning from Humans. Sai Krishna Gottipati, Luong-Ha Nguyen, Clodéric Mars, Matthew E. Taylor |
| 2023 | HoLA Robots: Mitigating Plan-Deviation Attacks in Multi-Robot Systems with Co-Observations and Horizon-Limiting Announcements. Kacper Wardega, Max von Hippel, Roberto Tron, Cristina Nita-Rotaru, Wenchao Li |
| 2023 | Host Community Respecting Refugee Housing. Dusan Knop, Simon Schierreich |
| 2023 | How Does Fairness Affect the Complexity of Gerrymandering? Sandip Banerjee, Rajesh Chitnis, Abhiruk Lahiri |
| 2023 | How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement. Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu |
| 2023 | How to Turn an MAS into a Graphical Causal Model. H. Van Dyke Parunak |
| 2023 | IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas. Bengisu Guresti, Abdullah Vanlioglu, Nazim Kemal Ure |
| 2023 | IRS: An Incentive-compatible Reward Scheme for Algorand. Maizi Liao, Wojciech Golab, Seyed Majid Zahedi |
| 2023 | Idleness Estimation for Distributed Multiagent Patrolling Strategies. Mehdi William Othmani-Guibourg, Jean-Loup Farges, Amal El Fallah Seghrouchni |
| 2023 | Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games. The Viet Bui, Tien Anh Mai, Thanh Hong Nguyen |
| 2023 | Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks. Mohammad Mohammadi, Jonathan Nöther, Debmalya Mandal, Adish Singla, Goran Radanovic |
| 2023 | Improved Complexity Results and an Efficient Solution for Connected Multi-Agent Path Finding. Isseïnie Calviac, Ocan Sankur, François Schwarzentruber |
| 2023 | Improved EFX Approximation Guarantees under Ordinal-based Assumptions. Evangelos Markakis, Christodoulos Santorinaios |
| 2023 | Improvement and Evaluation of the Policy Legibility in Reinforcement Learning. Yanyu Liu, Yifeng Zeng, Biyang Ma, Yinghui Pan, Huifan Gao, Xiaohan Huang |
| 2023 | Improving Cooperative Multi-Agent Exploration via Surprise Minimization and Social Influence Maximization. Mingyang Sun, Yaqing Hou, Jie Kang, Haiyin Piao, Yifeng Zeng, Hongwei Ge, Qiang Zhang |
| 2023 | Improving Human-Robot Team Performance with Proactivity and Shared Mental Models. Gwendolyn Edgar, Matthew McWilliams, Matthias Scheutz |
| 2023 | Improving Quantal Cognitive Hierarchy Model Through Iterative Population Learning. Yuhong Xu, Shih-Fen Cheng, Xinyu Chen |
| 2023 | Incentivizing Sequential Crowdsourcing Systems. Yuan Luo |
| 2023 | Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits. Abheek Ghosh, Dheeraj Nagaraj, Manish Jain, Milind Tambe |
| 2023 | Individual-Fair and Group-Fair Social Choice Rules under Single-Peaked Preferences. Gogulapati Sreedurga, Soumyarup Sadhukhan, Souvik Roy, Yadati Narahari |
| 2023 | Indivisible Participatory Budgeting with Multiple Degrees of Sophistication of Projects. Gogulapati Sreedurga |
| 2023 | Inferring Implicit Trait Preferences from Demonstrations of Task Allocation in Heterogeneous Teams. Vivek Mallampati, Harish Ravichandar |
| 2023 | Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations. Gregory Everett, Ryan J. Beal, Tim Matthews, Joseph Early, Timothy J. Norman, Sarvapali D. Ramchurn |
| 2023 | Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem. Peiwang Tang, Xianchao Zhang |
| 2023 | Intelligent Onboard Routing in Stochastic Dynamic Environments using Transformers. Rohit Chowdhury, Raswanth Murugan, Deepak N. Subramani |
| 2023 | Intention Progression with Maintenance Goals. Di Wu, Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah |
| 2023 | Interaction-Oriented Programming: Intelligent, Meaning-Based Multiagent Systems. Amit K. Chopra, Samuel H. Christie V., Munindar P. Singh |
| 2023 | Is Nash Equilibrium Approximator Learnable? Zhijian Duan, Wenhan Huang, Dinghuai Zhang, Yali Du, Jun Wang, Yaodong Yang, Xiaotie Deng |
| 2023 | Joint Engagement Classification using Video Augmentation Techniques for Multi-person HRI in the wild. Yubin Kim, Huili Chen, Sharifa Alghowinem, Cynthia Breazeal, Hae Won Park |
| 2023 | Kiko: Programming Agents to Enact Interaction Models. Samuel H. Christie V., Munindar P. Singh, Amit K. Chopra |
| 2023 | Know Your Enemy: Identifying and Adapting to Adversarial Attacks in Deep Reinforcement Learning. Seán Caulfield Curley, Karl Mason, Patrick Mannion |
| 2023 | Knowledge Compilation for Constrained Combinatorial Action Spaces in Reinforcement Learning. Jiajing Ling, Moritz Lukas Schuler, Akshat Kumar, Pradeep Varakantham |
| 2023 | LTL-Based Non-Markovian Inverse Reinforcement Learning. Mohammad Afzal, Sankalp Gambhir, Ashutosh Gupta, S. Krishna, Ashutosh Trivedi, Alvaro Velasquez |
| 2023 | Last-mile Collaboration: A Decentralized Mechanism with Performance Guarantees and its Implementation. Keyang Zhang, Jose Javier Escribano Macias, Dario Paccagnan, Panagiotis Angeloudis |
| 2023 | Learn to Solve the Min-max Multiple Traveling Salesmen Problem with Reinforcement Learning. Junyoung Park, Changhyun Kwon, Jinkyoo Park |
| 2023 | Learnability with PAC Semantics for Multi-agent Beliefs. Ionela G. Mocanu, Vaishak Belle, Brendan Juba |
| 2023 | Learning Constraints From Human Stop-Feedback in Reinforcement Learning. Silvia Poletti, Alberto Testolin, Sebastian Tschiatschek |
| 2023 | Learning Density-Based Correlated Equilibria for Markov Games. Libo Zhang, Yang Chen, Toru Takisaka, Bakh Khoussainov, Michael Witbrock, Jiamou Liu |
| 2023 | Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation. Xinyi Yang, Shiyu Huang, Yiwen Sun, Yuxiang Yang, Chao Yu, Wei-Wei Tu, Huazhong Yang, Yu Wang |
| 2023 | Learning Group-Level Information Integration in Multi-Agent Communication. Xiangrui Meng, Ying Tan |
| 2023 | Learning Individual Difference Rewards in Multi-Agent Reinforcement Learning. Chen Yang, Guangkai Yang, Junge Zhang |
| 2023 | Learning Inter-Agent Synergies in Asymmetric Multiagent Systems. Gaurav Dixit, Kagan Tumer |
| 2023 | Learning Logic Specifications for Soft Policy Guidance in POMCP. Giulio Mazzi, Daniele Meli, Alberto Castellini, Alessandro Farinelli |
| 2023 | Learning Manner of Execution from Partial Corrections. Mattias Appelgren, Alex Lascarides |
| 2023 | Learning Multiple Tasks with Non-stationary Interdependencies in Autonomous Robots. Alejandro Romero, Gianluca Baldassarre, Richard J. Duro, Vieri Giuliano Santucci |
| 2023 | Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas. Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha |
| 2023 | Learning Parameterized Families of Games. Madelyn Gatchel, Bryce Wiedenbeck |
| 2023 | Learning Properties in Simulation-Based Games. Cyrus Cousins, Bhaskar Mishra, Enrique Areyan Viqueira, Amy Greenwald |
| 2023 | Learning Representations and Robust Exploration for Improved Generalization in Reinforcement Learning. Nasik Muhammad Nafi |
| 2023 | Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning. Junqi Qian, Paul Weng, Chenmien Tan |
| 2023 | Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning. Michael Curry, Alexander Trott, Soham Phade, Yu Bai, Stephan Zheng |
| 2023 | Learning Structured Communication for Multi-Agent Reinforcement Learning. Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang, Hongyuan Zha |
| 2023 | Learning Transferable Representations for Non-stationary Environments. Mohammad Samin Yasar |
| 2023 | Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning. Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley |
| 2023 | Learning in Teams: Peer Evaluation for Fair Assessment of Individual Contributions. Fedor Duzhin |
| 2023 | Learning the Stackelberg Equilibrium in a Newsvendor Game. Nicolò Cesa-Bianchi, Tommaso Cesari, Takayuki Osogami, Marco Scarsini, Segev Wasserkrug |
| 2023 | Learning to Coordinate from Offline Datasets with Uncoordinated Behavior Policies. Jinming Ma, Feng Wu |
| 2023 | Learning to Explain Voting Rules. Inwon Kang, Qishen Han, Lirong Xia |
| 2023 | Learning to Operate in Open Worlds by Adapting Planning Models. Wiktor Piotrowski, Roni Stern, Yoni Sher, Jacob Le, Matthew Klenk, Johan de Kleer, Shiwali Mohan |
| 2023 | Learning to Perceive in Deep Model-Free Reinforcement Learning. Gonçalo Querido, Alberto Sardinha, Francisco S. Melo |
| 2023 | Learning to Self-Reconfigure for Freeform Modular Robots via Altruism Multi-Agent Reinforcement Learning. Lei Wu, Bin Guo, Qiuyun Zhang, Zhuo Sun, Jieyi Zhang, Zhiwen Yu |
| 2023 | Less Is More: Refining Datasets for Offline Reinforcement Learning with Reward Machines. Haoyuan Sun, Feng Wu |
| 2023 | Logics for Information Aggregation. John Lindqvist |
| 2023 | Loss of Distributed Coverage Using Lazy Agents Operating Under Discrete, Local, Event-Triggered Communication. Edward Vickery, Aditya A. Paranjape |
| 2023 | M3: Modularization for Multi-task and Multi-agent Offline Pre-training. Linghui Meng, Jingqing Ruan, Xuantang Xiong, Xiyun Li, Xi Zhang, Dengpeng Xing, Bo Xu |
| 2023 | MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization. Yongsheng Mei, Hanhan Zhou, Tian Lan, Guru Venkataramani, Peng Wei |
| 2023 | MADDM: Multi-Advisor Dynamic Binary Decision-Making by Maximizing the Utility. Zhaori Guo, Timothy J. Norman, Enrico H. Gerding |
| 2023 | MAIDS - A Framework for the Development of Multi-Agent Intentional Dialogue Systems. Débora C. Engelmann, Alison R. Panisson, Renata Vieira, Jomi Fred Hübner, Viviana Mascardi, Rafael H. Bordini |
| 2023 | ML-MAS: A Hybrid AI Framework for Self-Driving Vehicles. Hilal Al Shukairi, Rafael C. Cardoso |
| 2023 | MMS Allocations of Chores with Connectivity Constraints: New Methods and New Results. Mingyu Xiao, Guoliang Qiu, Sen Huang |
| 2023 | Mandrake: Multiagent Systems as a Basis for Programming Fault-Tolerant Decentralized Applications. Samuel H. Christie V., Munindar P. Singh, Amit K. Chopra |
| 2023 | Margin of Victory for Weighted Tournament Solutions. Michelle Döring, Jannik Peters |
| 2023 | Markov Aggregation for Speeding Up Agent-Based Movement Simulations. Bernhard C. Geiger, Alireza Jahani, Hussain Hussain, Derek Groen |
| 2023 | Matching Algorithms under Diversity-Based Reservations. Haris Aziz, Sean Morota Chu, Zhaohong Sun |
| 2023 | Matching Options to Tasks using Option-Indexed Hierarchical Reinforcement Learning. Kushal Chauhan, Soumya Chatterjee, Akash Reddy, Aniruddha S, Balaraman Ravindran, Pradeep Shenoy |
| 2023 | Maximin Share Allocations for Assignment Valuations. Pooja Kulkarni, Rucha Kulkarni, Ruta Mehta |
| 2023 | Measuring a Priori Voting Power - Taking Delegations Seriously. Rachael Colley, Théo Delemazure, Hugo Gilbert |
| 2023 | Mechanism Design for Heterogeneous and Distributed Facility Location Problems. Rongsen Zhang |
| 2023 | Mechanism Design for Improving Accessibility to Public Facilities. Hau Chan, Chenhao Wang |
| 2023 | Mediated Multi-Agent Reinforcement Learning. Dmitry Ivanov, Ilya Zisman, Kirill Chernyshev |
| 2023 | Memoryless Adversaries in Imperfect Information Games. Dhananjay Raju, Georgios Bakirtzis, Ufuk Topcu |
| 2023 | Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. Tung Thai, Mudit Verma, Utkarsh Soni, Sriram Gopalakrishnan, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Neeraj Varshney, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz |
| 2023 | Minimally Constraining Line-of-Sight Connectivity Maintenance for Collision-free Multi-Robot Networks under Uncertainty. Yupeng Yang, Yiwei Lyu, Wenhao Luo |
| 2023 | Minimax Strikes Back. Quentin Cohen-Solal, Tristan Cazenave |
| 2023 | Minimising Task Tardiness for Multi-Agent Pickup and Delivery. Saravanan Ramanathan, Yihao Liu, Xueyan Tang, Wentong Cai, Jingning Li |
| 2023 | Mitigating Imminent Collision for Multi-robot Navigation: A TTC-force Reward Shaping Approach. Jinlin Chen, Jiannong Cao, Zhiqin Cheng, Wei Li |
| 2023 | Mitigating Skewed Bidding for Conference Paper Assignment. Inbal Rozencweig, Reshef Meir, Nicholas Mattei, Ofra Amir |
| 2023 | Model-Based Actor-Critic for Multi-Objective Reinforcement Learning with Dynamic Utility Functions. Johan Källström, Fredrik Heintz |
| 2023 | Model-Based Reinforcement Learning for Auto-bidding in Display Advertising. Shuang Chen, Qisen Xu, Liang Zhang, Yongbo Jin, Wenhao Li, Linjian Mo |
| 2023 | Model-based Dynamic Shielding for Safe and Efficient Multi-agent Reinforcement Learning. Wenli Xiao, Yiwei Lyu, John M. Dolan |
| 2023 | Model-based Sparse Communication in Multi-agent Reinforcement Learning. Shuai Han, Mehdi Dastani, Shihan Wang |
| 2023 | Modeling Application Scenarios for Responsible Autonomy using Computational Transcendence. Jayati Deshmukh, Nikitha Adivi, Srinath Srinivasa |
| 2023 | Modeling Dynamic Environments with Scene Graph Memory. Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín |
| 2023 | Modeling Robustness in Decision-Focused Learning as a Stackelberg Game. Sonja Johnson-Yu, Kai Wang, Jessie Finocchiaro, Aparna Taneja, Milind Tambe |
| 2023 | Modeling the Interpretation of Animations to Help Improve Emotional Expression. Taíssa Ribeiro, Ricardo Rodrigues, Carlos Martinho |
| 2023 | Modelling Agent Decision Making in Agent-based Simulation - Analysis Using an Economic Technology Uptake Model. Franziska Klügl, Hildegunn Kyvik Nordås |
| 2023 | Models of Anxiety for Agent Deliberation: The Benefits of Anxiety-Sensitive Agents. Arvid Horned, Loïs Vanhée |
| 2023 | Multi-Advisor Dynamic Decision Making. Zhaori Guo |
| 2023 | Multi-Agent Consensus-based Bundle Allocation for Multi-mode Composite Tasks. Gauthier Picard |
| 2023 | Multi-Agent Deep Reinforcement Learning for High-Frequency Multi-Market Making. Pankaj Kumar |
| 2023 | Multi-Agent Path Finding via Reinforcement Learning with Hybrid Reward. Cheng Zhao, Liansheng Zhuang, Haonan Liu, Yihong Huang, Jian Yang |
| 2023 | Multi-Agent Path Finding with Time Windows: Preliminary Results. Jianqi Gao, Qi Liu, Shiyu Chen, Kejian Yan, Xinyi Li, YanJie Li |
| 2023 | Multi-Agent Pickup and Delivery in Presence of Another Team of Robots. Benedetta Flammini, Davide Azzalini, Francesco Amigoni |
| 2023 | Multi-Agent Pickup and Delivery with Task Probability Distribution. Andrea Di Pietro, Nicola Basilico, Francesco Amigoni |
| 2023 | Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement. Jiachen Yang, Ketan Mittal, Tarik Dzanic, Socratis Petrides, Brendan Keith, Brenden K. Petersen, Daniel M. Faissol, Robert W. Anderson |
| 2023 | Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads. Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, Antoine Lesage-Landry |
| 2023 | Multi-Agent Reinforcement Learning with Safety Layer for Active Voltage Control. Yufeng Shi, Mingxiao Feng, Minrui Wang, Wengang Zhou, Houqiang Li |
| 2023 | Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance. Mara Cairo, Bevin Eldaphonse, Payam Mousavi, Sahir, Sheikh Jubair, Matthew E. Taylor, Graham Doerksen, Nikolai Kummer, Jordan Maretzki, Gupreet Mohhar, Sean Murphy, Johannes Günther, Laura Petrich, Talat Syed |
| 2023 | Multi-Team Fitness Critics For Robust Teaming. Joshua Cook, Tristan Scheiner, Kagan Tumer |
| 2023 | Multi-agent Signalless Intersection Management with Dynamic Platoon Formation. Phuriwat Worrawichaipat, Enrico H. Gerding, Ioannis Kaparias, Sarvapali D. Ramchurn |
| 2023 | Multi-objective Reinforcement Learning in Factored MDPs with Graph Neural Networks. Marc Vincent, Amal El Fallah Seghrouchni, Vincent Corruble, Narayan Bernardin, Rami Kassab, Frédéric Barbaresco |
| 2023 | Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning. Haochen Wu, Pedro Sequeira, David V. Pynadath |
| 2023 | Multiagent Learning: From Fundamentals to Foundation Models. Karl Tuyls |
| 2023 | Multiplicative Weight Updates for Extensive Form Games. Chirag Chhablani, Michael Sullins, Ian A. Kash |
| 2023 | Near Optimal Strategies for Honeypots Placement in Dynamic and Large Active Directory Networks. Huy Quang Ngo, Mingyu Guo, Hung Nguyen |
| 2023 | Neural Stochastic Agent-Based Limit Order Book Simulation: A Hybrid Methodology. Zijian Shi, John Cartlidge |
| 2023 | Neuro-Symbolic World Models for Adapting to Open World Novelty. Jonathan C. Balloch, Zhiyu Lin, Xiangyu Peng, Mustafa Hussain, Aarun Srinivas, Robert Wright, Julia M. Kim, Mark O. Riedl |
| 2023 | Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning. Pranav Khanna, Guy Tennenholtz, Nadav Merlis, Shie Mannor, Chen Tessler |
| 2023 | No-regret Learning Dynamics for Sequential Correlated Equilibria. Hugh Zhang |
| 2023 | Node Conversion Optimization in Multi-hop Influence Networks. Jie Zhang, Yuezhou Lv, Zihe Wang |
| 2023 | Non-Obvious Manipulability for Single-Parameter Agents and Bilateral Trade. Thomas Archbold, Bart de Keijzer, Carmine Ventre |
| 2023 | Non-strategic Econometrics (for Initial Play). Daniel Chui, Jason D. Hartline, James R. Wright |
| 2023 | Nonverbal Human Signals Can Help Autonomous Agents Infer Human Preferences for Their Behavior. Kate Candon, Jesse Chen, Yoony Kim, Zoe Hsu, Nathan Tsoi, Marynel Vázquez |
| 2023 | Off-Beat Multi-Agent Reinforcement Learning. Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan |
| 2023 | Off-the-Grid MARL: Datasets and Baselines for Offline Multi-Agent Reinforcement Learning. Claude Formanek, Asad Jeewa, Jonathan Shock, Arnu Pretorius |
| 2023 | Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization. Xiangsen Wang, Xianyuan Zhan |
| 2023 | On Regret-optimal Cooperative Nonstochastic Multi-armed Bandits. Jialin Yi, Milan Vojnovic |
| 2023 | On Subset Selection of Multiple Humans To Improve Human-AI Team Accuracy. Sagalpreet Singh, Shweta Jain, Shashi Shekhar Jha |
| 2023 | On a Voter Model with Context-Dependent Opinion Adoption. Luca Becchetti, Vincenzo Bonifaci, Emilio Cruciani, Francesco Pasquale |
| 2023 | On the Complexity of the Two-Stage Majority Rule. Yongjie Yang |
| 2023 | On the Distortion of Single Winner Elections with Aligned Candidates. Dimitris Fotakis, Laurent Gourvès |
| 2023 | On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork. Matheus Aparecido do Carmo Alves, Elnaz Shafipour Yourdshahi, Amokh Varma, Leandro Soriano Marcolino, Jó Ueyama, Plamen Angelov |
| 2023 | One-Shot Learning from a Demonstration with Hierarchical Latent Language. Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme |
| 2023 | Online 2-stage Stable Matching. Evripidis Bampis, Bruno Escoffier, Paul Youssef |
| 2023 | Online Coalitional Skill Formation. Saar Cohen, Noa Agmon |
| 2023 | Online Influence Maximization under Decreasing Cascade Model. Fang Kong, Jize Xie, Baoxiang Wang, Tao Yao, Shuai Li |
| 2023 | Online Matching with Delays and Stochastic Arrival Times. Mathieu Mari, Michal Pawlowski, Runtian Ren, Piotr Sankowski |
| 2023 | Online Re-Planning and Adaptive Parameter Update for Multi-Agent Path Finding with Stochastic Travel Times. Atsuyoshi Kita, Nobuhiro Suenari, Masashi Okada, Tadahiro Taniguchi |
| 2023 | Opinion Dynamics in Populations of Converging and Polarizing Agents. Anshul Toshniwal, Fernando P. Santos |
| 2023 | Optimal Capacity Modification for Many-To-One Matching Problems. Jiehua Chen, Gergely Csáji |
| 2023 | Optimal Coalition Structures for Probabilistically Monotone Partition Function Games. Shaheen Fatima, Michael J. Wooldridge |
| 2023 | Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs. Haoxiang Ma, Shuo Han, Nandi Leslie, Charles A. Kamhoua, Jie Fu |
| 2023 | Optimally Solving the Multiple Watchman Route Problem with Heuristic Search. Yaakov Livne, Dor Atzmon, Shawn Skyler, Eli Boyarski, Amir Shapiro, Ariel Felner |
| 2023 | Optimizing Crop Management with Reinforcement Learning and Imitation Learning. Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew Tom Harrison, Carla Sofia Santos Ferreira, Zahra Kalantari, Naira Hovakimyan |
| 2023 | Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models. Tom Haider, Karsten Roscher, Felippe Schmoeller da Roza, Stephan Günnemann |
| 2023 | PACCART: Reinforcing Trust in Multiuser Privacy Agreement Systems. Daan L. Di Scala, Pinar Yolum |
| 2023 | PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du |
| 2023 | PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. Jizhou Wu, Tianpei Yang, Xiaotian Hao, Jianye Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor |
| 2023 | Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning. Woojun Kim, Youngchul Sung |
| 2023 | Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning. Ryan Kortvelesy, Steven D. Morad, Amanda Prorok |
| 2023 | Personalized Agent Explanations for Human-Agent Teamwork: Adapting Explanations to User Trust, Workload, and Performance. Ruben S. Verhagen, Mark A. Neerincx, Can Parlar, Marin Vogel, Myrthe L. Tielman |
| 2023 | Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior. Nele Albers, Mark A. Neerincx, Willem-Paul Brinkman |
| 2023 | Phantom - A RL-driven Multi-Agent Framework to Model Complex Systems. Leo Ardon, Jared Vann, Deepeka Garg, Thomas Spooner, Sumitra Ganesh |
| 2023 | Planning and Coordination for Unmanned Aerial Vehicles. Jonathan Diller |
| 2023 | Playing to Learn, or to Keep Secret: Alternating-Time Logic Meets Information Theory. Masoud Tabatabaei, Wojciech Jamroga |
| 2023 | Possible Fairness for Allocating Indivisible Resources. Haris Aziz, Bo Li, Shiji Xing, Yu Zhou |
| 2023 | Predicting Privacy Preferences for Smart Devices as Norms. Marc Serramia, William Seymour, Natalia Criado, Michael Luck |
| 2023 | Preference Inference from Demonstration in Multi-objective Multi-agent Decision Making. Junlin Lu |
| 2023 | Preference-Aware Delivery Planning for Last-Mile Logistics. Qian Shao, Shih-Fen Cheng |
| 2023 | Preference-Based Multi-Objective Multi-Agent Path Finding. Florence Ho, Shinji Nakadai |
| 2023 | Presenting Multiagent Challenges in Team Sports Analytics. David Radke, Alexi Orchard |
| 2023 | Price of Anarchy for First Price Auction with Risk-Averse Bidders. Zhiqiang Zhuang, Kewen Wang, Zhe Wang |
| 2023 | Price of Anarchy in a Double-Sided Critical Distribution System. David Sychrovsky, Jakub Cerný, Sylvain Lichau, Martin Loebl |
| 2023 | Prioritized Tasks Mining for Multi-Task Cooperative Multi-Agent Reinforcement Learning. Yang Yu, Qiyue Yin, Junge Zhang, Kaiqi Huang |
| 2023 | Probabilistic Deduction as a Probabilistic Extension of Assumption-based Argumentation. Xiuyi Fan |
| 2023 | Probabilistic Rationing with Categorized Priorities: Processing Reserves Fairly and Efficiently. Haris Aziz |
| 2023 | Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, London, United Kingdom, 29 May 2023 - 2 June 2023 Noa Agmon, Bo An, Alessandro Ricci, William Yeoh |
| 2023 | Proportional Fairness in Obnoxious Facility Location. Haris Aziz, Alexander Lam, Bo Li, Fahimeh Ramezani, Toby Walsh |
| 2023 | Proportionality in Multiwinner Voting: The Power of Local Search. Edith Elkind |
| 2023 | Provable Optimization of Quantal Response Leader-Follower Games with Exponentially Large Action Spaces. Jinzhao Li, Daniel Fink, Christopher Wood, Carla P. Gomes, Yexiang Xue |
| 2023 | Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation. Jing Dong, Li Shen, Yinggan Xu, Baoxiang Wang |
| 2023 | Provably Efficient Offline RL with Options. Xiaoyan Hu, Ho-fung Leung |
| 2023 | Provably Manipulable 3D Structures using Graph Theory. John Harwell, London Lowmanstone, Maria L. Gini |
| 2023 | Quantitative Planning with Action Deception in Concurrent Stochastic Games. Chongyang Shi, Shuo Han, Jie Fu |
| 2023 | RTransNav: Relation-wise Transformer Network for More Successful Object Goal Navigation. Kang Zhou, Chi Guo, Huyin Zhang, Wenfei Guo |
| 2023 | Random Majority Opinion Diffusion: Stabilization Time, Absorbing States, and Influential Nodes. Ahad N. Zehmakan |
| 2023 | Real Time Gesturing in Embodied Agents for Dynamic Content Creation. Hazel Watson-Smith, Felix Marcon Swadel, Jo Hutton, Kirstin Marcon, Mark Sagar, Shane Blackett, Tiago Rebeiro, Travers Biddle, Tim Wu |
| 2023 | Reasoning about Uncertainty in AgentSpeak using Dynamic Epistemic Logic. Michael J. Vezina, François Schwarzentruber, Babak Esfandiari, Sandra Morley |
| 2023 | Reducing Racial Bias by Interacting with Virtual Agents: An Intervention in Virtual Reality. David Obremski, Ohenewa Bediako Akuffo, Leonie Lücke, Miriam Semineth, Sarah Tomiczek, Hanna-Finja Weichert, Birgit Lugrin |
| 2023 | Referential Communication in Heterogeneous Communities of Pre-trained Visual Deep Networks. Matéo Mahaut, Francesca Franzon, Roberto Dessì, Marco Baroni |
| 2023 | Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis. Yongzhao Wang, Michael P. Wellman |
| 2023 | Reinforcement Learning and Mechanism Design for Routing of Connected and Autonomous Vehicles. Behrad Koohy |
| 2023 | Reinforcement Learning in Multi-Objective Multi-Agent Systems. Willem Röpke |
| 2023 | Reinforcement Learning with Depreciating Assets. Taylor Dohmen, Ashutosh Trivedi |
| 2023 | Relaxations of Envy-Freeness Over Graphs. Justin Payan, Rik Sengupta, Vignesh Viswanathan |
| 2023 | Relaxed Exploration Constrained Reinforcement Learning. Shahaf S. Shperberg, Bo Liu, Peter Stone |
| 2023 | Repeatedly Matching Items to Agents Fairly and Efficiently. Ioannis Caragiannis, Shivika Narang |
| 2023 | Representing and Reasoning about Auctions. Munyque Mittelmann, Laurent Perrussel, Sylvain Bouveret |
| 2023 | Resilient Fair Allocation of Indivisible Goods. Dolev Mutzari, Yonatan Aumann, Sarit Kraus |
| 2023 | Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning. Shresth Verma, Aditya Mate, Kai Wang, Neha Madhiwalla, Aparna Hegde, Aparna Taneja, Milind Tambe |
| 2023 | Revealed Multi-Objective Utility Aggregation in Human Driving. Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki |
| 2023 | Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities. Zhikang Fan, Weiran Shen |
| 2023 | Revisiting the Distortion of Distributed Voting. Aris Filos-Ratsikas, Alexandros A. Voudouris |
| 2023 | Reward Relabelling for Combined Reinforcement and Imitation Learning on Sparse-reward Tasks. Jesus Bujalance Martin, Fabien Moutarde |
| 2023 | Reward-Machine-Guided, Self-Paced Reinforcement Learning. Cevahir Köprülü, Ufuk Topcu |
| 2023 | Risk-Constrained Planning for Multi-Agent Systems with Shared Resources. Anna Gautier, Marc Rigter, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge |
| 2023 | Robotic Shopping Assistance for Everyone: Dynamic Query Generation on a Semantic Digital Twin as a Basis for Autonomous Shopping Assistance. Michaela Kümpel, Jonas Dech, Alina Hawkin, Michael Beetz |
| 2023 | Robust JaCaMo Applications via Exceptions and Accountability. Matteo Baldoni, Cristina Baroglio, Roberto Micalizio, Stefano Tedeschi |
| 2023 | Robust Ordinal Regression for Collaborative Preference Learning with Opinion Synergies. Hugo Gilbert, Mohamed Ouaguenouni, Meltem Öztürk, Olivier Spanjaard |
| 2023 | S&F: Sources and Facts Reliability Evaluation Method. Quentin Elsaesser, Patricia Everaere, Sébastien Konieczny |
| 2023 | SAT-based Judgment Aggregation. Ari Conati, Andreas Niskanen, Matti Järvisalo |
| 2023 | SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding. Yutong Wang, Bairan Xiang, Shinan Huang, Guillaume Sartoretti |
| 2023 | SE4AI Issues on Social Media Agent Design with Use Cases. Francisco Supino Marcondes, José João Almeida, Paulo Novais |
| 2023 | Safe Behavior Specification and Planning for Autonomous Robotic Systems in Uncertain Environments. Jan Vermaelen |
| 2023 | Safe Deep Reinforcement Learning by Verifying Task-Level Properties. Enrico Marchesini, Luca Marzari, Alessandro Farinelli, Christopher Amato |
| 2023 | Safety Guarantees in Multi-agent Learning via Trapping Regions. Aleksander Czechowski, Frans A. Oliehoek |
| 2023 | Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva |
| 2023 | Sampling-Based Winner Prediction in District-Based Elections. Debajyoti Kar, Palash Dey, Swagato Sanyal |
| 2023 | Scalar Reward is Not Enough. Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Friedrik Hentz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale |
| 2023 | Search versus Search for Collapsing Electoral Control Types. Benjamin Carleton, Michael C. Chavrimootoo, Lane A. Hemaspaandra, David E. Narváez, Conor Taliancich, Henry B. Welles |
| 2023 | Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games. Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Kate Larson, Yoram Bachrach, Michael P. Wellman, Paul Muller |
| 2023 | Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning. Matthias Gerstgrasser, Tom Danino, Sarah Keren |
| 2023 | Self-Motivated Multi-Agent Exploration. Shaowei Zhang, Jiahan Cao, Lei Yuan, Yang Yu, De-Chuan Zhan |
| 2023 | Semi-Autonomous Systems with Contextual Competence Awareness. Saaduddin Mahmud, Connor Basich, Shlomo Zilberstein |
| 2023 | Semi-Popular Matchings and Copeland Winners. Telikepalli Kavitha, Rohit Vaish |
| 2023 | Separating and Collapsing Electoral Control Types. Benjamin Carleton, Michael C. Chavrimootoo, Lane A. Hemaspaandra, David E. Narváez, Conor Taliancich, Henry B. Welles |
| 2023 | Separations and Collapses in Computational Social Choice. Michael C. Chavrimootoo |
| 2023 | Sequential Cooperative Multi-Agent Reinforcement Learning. Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing |
| 2023 | Settling the Distortion of Distributed Facility Location. Aris Filos-Ratsikas, Panagiotis Kanellopoulos, Alexandros A. Voudouris, Rongsen Zhang |
| 2023 | ShelfHelp: Empowering Humans to Perform Vision-Independent Manipulation Tasks with a Socially Assistive Robotic Cane. Shivendra Agrawal, Suresh Nayak, Ashutosh Naik, Bradley Hayes |
| 2023 | Should My Agent Lie for Me? A Study on Attitudes of US-basedParticipants Towards Deceptive AI in Selected Future-of-work. Stefan Sarkadi, Peidong Mei, Edmond Awad |
| 2023 | Signifiers as a First-class Abstraction in Hypermedia Multi-Agent Systems. Danai Vachtsevanou, Andrei Ciortea, Simon Mayer, Jérémy Lemée |
| 2023 | Simpler rather than Challenging: Design of Non-Dyadic Human-Robot Collaboration to Mediate Human-Human Concurrent Tasks. Francesco Semeraro, Jon Carberry, Angelo Cangelosi |
| 2023 | Simulating Panic Amplification in Crowds via Density-Emotion Interaction. Erik van Haeringen, Charlotte Gerritsen |
| 2023 | Simulation Model with Side Trips at a Large-Scale Event. Ryo Niwa, Shunki Takami, Shusuke Shigenaka, Masaki Onishi, Wataru Naito, Tetsuo Yasutaka |
| 2023 | Single-Peaked Jump Schelling Games. Tobias Friedrich, Pascal Lenzner, Louise Molitor, Lars Seifert |
| 2023 | Social Aware Coalition Formation with Bounded Coalition Size. Chaya Levinger, Amos Azaria, Noam Hazon |
| 2023 | Social Choice Around Decentralized Autonomous Organizations: On the Computational Social Choice of Digital Communities. Nimrod Talmon |
| 2023 | Social Distancing via Social Scheduling. Deepesh Kumar Lall, Garima Shakya, Swaprava Nath |
| 2023 | Social Mechanism Design: A Low-Level Introduction. Ben Abramowitz, Nicholas Mattei |
| 2023 | SocialLight: Distributed Cooperation Learning towards Network-Wide Traffic Signal Control. Harsh Goel, Yifeng Zhang, Mehul Damani, Guillaume Sartoretti |
| 2023 | Stability of Weighted Majority Voting under Estimated Weights. Shaojie Bai, Dongxia Wang, Tim Muller, Peng Cheng, Jiming Chen |
| 2023 | Stable Marriage in Euclidean Space. Yinghui Wen, Zhongyi Zhang, Jiong Guo |
| 2023 | Stationary Equilibrium of Mean Field Games with Congestion-dependent Sojourn Times. Costas Courcoubetis, Antonis Dimakis |
| 2023 | Stigmergy-based, Dual-Layer Coverage of Unknown Regions. Ori Rappel, Michael Amir, Alfred M. Bruckstein |
| 2023 | Strategic (Timed) Computation Tree Logic. Jaime Arias, Wojciech Jamroga, Wojciech Penczek, Laure Petrucci, Teofil Sidoruk |
| 2023 | Strategic Planning for Flexible Agent Availability in Large Taxi Fleets. Rajiv Ranjan Kumar, Pradeep Varakantham, Shih-Fen Cheng |
| 2023 | Strategic Play By Resource-Bounded Agents in Security Games. Xinming Liu, Joseph Y. Halpern |
| 2023 | Strategy Extraction for Transfer in AI Agents. Archana Vadakattu |
| 2023 | Strategyproof Social Decision Schemes on Super Condorcet Domains. Felix Brandt, Patrick Lederer, Sascha Tausch |
| 2023 | Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection. Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson, Katherine Rose Driggs-Campbell |
| 2023 | Structural Credit Assignment-Guided Coordinated MCTS: An Efficient and Scalable Method for Online Multiagent Planning. Qian Che, Wanyuan Wang, Fengchen Wang, Tianchi Qiao, Xiang Liu, Jiuchuan Jiang, Bo An, Yichuan Jiang |
| 2023 | Sybil-Proof Diffusion Auction in Social Networks. Hongyin Chen, Xiaotie Deng, Ying Wang, Yue Wu, Dengji Zhao |
| 2023 | Synthesis of Resource-Aware Controllers Against Rational Agents. Rodica Condurache, Catalin Dima, Youssouf Oualhadj, Nicolas Troquard |
| 2023 | TA-Explore: Teacher-Assisted Exploration for Facilitating Fast Reinforcement Learning. Ali Beikmohammadi, Sindri Magnússon |
| 2023 | TDD for AOP: Test-Driven Development for Agent-Oriented Programming. Cleber Jorge Amaral, Jomi Fred Hübner, Timotheus Kampik |
| 2023 | Targeted Search Control in AlphaZero for Effective Policy Improvement. Alexandre Trudeau, Michael Bowling |
| 2023 | Temporally Layered Architecture for Adaptive, Distributed and Continuous Control. Devdhar Patel, Joshua Russell, Francesca Walsh, Tauhidur Rahman, Terrence J. Sejnowski, Hava T. Siegelmann |
| 2023 | The Benefits of Power Regularization in Cooperative Reinforcement Learning. Michelle Li, Michael Dennis |
| 2023 | The Challenge of Redundancy on Multi-agent Value Factorisation. Siddarth Shandeep Singh, Benjamin Rosman |
| 2023 | The Complexity of Minimizing Envy in House Allocation. Jayakrishnan Madathil, Neeldhara Misra, Aditi Sethia |
| 2023 | The Distortion of Approval Voting with Runoff. Soroush Ebadian, Mohamad Latifian, Nisarg Shah |
| 2023 | The Grapevine Web: Analysing the Spread of False Information in Social Networks with Corrupted Sources. Jacques Bara, Charlie Pilgrim, Paolo Turrini, Stanislav Zhydkov |
| 2023 | The Importance of Credo in Multiagent Learning. David Radke, Kate Larson, Tim Brecht |
| 2023 | The Influence Maximisation Game. Sukankana Chakraborty, Sebastian Stein, Ananthram Swami, Matthew Jones, Lewis Hill |
| 2023 | The Parameterized Complexity of Welfare Guarantees in Schelling Segregation. Argyrios Deligkas, Eduard Eiben, Tiger-Lily Goldsmith |
| 2023 | The Price of Algorithmic Pricing: Investigating Collusion in a Market Simulation with AI Agents. Michael Schlechtinger, Damaris Kosack, Heiko Paulheim, Thomas Fetzer, Franz Krause |
| 2023 | The Resilience Game: A New Formalization of Resilience for Groups of Goal-Oriented Autonomous Agents. Michael A. Goodrich, Jennifer Leaf, Julie A. Adams, Matthias Scheutz |
| 2023 | The Role of Space, Density and Migration in Social Dilemmas. Jacques Bara, Fernando P. Santos, Paolo Turrini |
| 2023 | The Rule-Tool-User Nexus in Digital Collective Decisions. Zoi Terzopoulou, Marijn A. Keijzer, Gogulapati Sreedurga, Jobst Heitzig |
| 2023 | The Swiss Gambit. Ágnes Cseh, Pascal Führlich, Pascal Lenzner |
| 2023 | Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation. Yushan Qian, Bo Wang, Shangzhao Ma, Bin Wu, Shuo Zhang, Dongming Zhao, Kun Huang, Yuexian Hou |
| 2023 | TiLD: Third-person Imitation Learning by Estimating Domain Cognitive Differences of Visual Demonstrations. Zixuan Chen, Wenbin Li, Yang Gao, Yiyu Chen |
| 2023 | TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play. Fanqi Lin, Shiyu Huang, Tim Pearce, Wenze Chen, Wei-Wei Tu |
| 2023 | Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning. Jihwan Oh, Joonkee Kim, Minchan Jeong, Se-Young Yun |
| 2023 | Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs. Stelios Triantafyllou, Goran Radanovic |
| 2023 | Towards Creating Better Interactive Agents: Leveraging Both Implicit and Explicit Human Feedback. Kate Candon |
| 2023 | Towards Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Models. Khaing Phyo Wai, Minghong Geng, Budhitama Subagdja, Shubham Pateria, Ah-Hwee Tan |
| 2023 | Towards Multi-agent Learning of Causal Networks. Stefano Mariani, Pasquale Roseti, Franco Zambonelli |
| 2023 | Towards Optimal and Scalable Evacuation Planning Using Data-driven Agent Based Models. Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti |
| 2023 | Towards Robust Contrastive Explanations for Human-Neural Multi-agent Systems. Francesco Leofante, Alessio Lomuscio |
| 2023 | Towards Sample-Efficient Multi-Objective Reinforcement Learning. Lucas Nunes Alegre |
| 2023 | Towards Scalable and Robust Decision Making in Partially Observable, Multi-Agent Environments. Jonathon Schwartz |
| 2023 | Towards a Logical Account for Human-Aware Explanation Generation in Model Reconciliation Problems. Stylianos Loukas Vasileiou |
| 2023 | Towards the Verification of Strategic Properties in Multi-Agent Systems with Imperfect Information. Angelo Ferrando, Vadim Malvone |
| 2023 | TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems. Matteo Gallici, Mario Martin, Ivan Masmitja |
| 2023 | Transfer Learning based Agent for Automated Negotiation. Siqi Chen, Qisong Sun, Heng You, Tianpei Yang, Jianye Hao |
| 2023 | Transformer Actor-Critic with Regularization: Automated Stock Trading using Reinforcement Learning. Namyeong Lee, Jun Moon |
| 2023 | Trust Region Bounds for Decentralized PPO Under Non-stationarity. Mingfei Sun, Sam Devlin, Jacob Beck, Katja Hofmann, Shimon Whiteson |
| 2023 | Trusting Artificial Agents: Communication Trumps Performance. Marin Le Guillou, Laurent Prévot, Bruno Berberian |
| 2023 | Two-Level Actor-Critic Using Multiple Teachers. Su Zhang, Srijita Das, Sriram Ganapathi Subramanian, Matthew E. Taylor |
| 2023 | Two-phase Security Games. Andrzej Nagórko, Pawel Ciosmak, Tomasz P. Michalak |
| 2023 | Uncertainty-aware Personal Assistant and Explanation Method for Privacy Decisions. Gönül Ayci |
| 2023 | Updating Action Descriptions and Plans for Cognitive Agents. Peter Stringer, Rafael C. Cardoso, Clare Dixon, Michael Fisher, Louise A. Dennis |
| 2023 | User Device Interaction Prediction via Relational Gated Graph Attention Network and Intent-aware Encoder. Jingyu Xiao, Qingsong Zou, Qing Li, Dan Zhao, Kang Li, Wenxin Tang, Runjie Zhou, Yong Jiang |
| 2023 | Value Inference in Sociotechnical Systems. Enrico Liscio, Roger Lera-Leri, Filippo Bistaffa, Roel I. J. Dobbe, Catholijn M. Jonker, Maite López-Sánchez, Juan A. Rodríguez-Aguilar, Pradeep K. Murukannaiah |
| 2023 | Verifiably Safe Decision-Making for Autonomous Systems. Yi Yang |
| 2023 | Visual Explanations for Defence in Abstract Argumentation. Sylvie Doutre, Théo Duchatelle, Marie-Christine Lagasquie-Schiex |
| 2023 | Visualizing Logic Explanations for Social Media Moderation. Marc Roig Vilamala, Dave Braines, Federico Cerutti, Alun D. Preece |
| 2023 | Voting by Axioms. Marie Christin Schmidtlein, Ulle Endriss |
| 2023 | Voting with Limited Energy: A Study of Plurality and Borda. Zoi Terzopoulou |
| 2023 | Welfare and Fairness in Multi-objective Reinforcement Learning. Zimeng Fan, Nianli Peng, Muhang Tian, Brandon Fain |
| 2023 | What Do You Care About: Inferring Values from Emotions. Jieting Luo, Mehdi Dastani, Thomas Studer, Beishui Liao |
| 2023 | Which way is 'right'?: Uncovering limitations of Vision-and-Language Navigation Models. Meera Hahn, Amit Raj, James M. Rehg |
| 2023 | Worst-Case Adaptive Submodular Cover. Jing Yuan, Shaojie Tang |
| 2023 | Yankee Swap: A Fast and Simple Fair Allocation Mechanism for Matroid Rank Valuations. Vignesh Viswanathan, Yair Zick |
| 2023 | k-Prize Weighted Voting Game. Wei-Chen Lee, David Hyland, Alessandro Abate, Edith Elkind, Jiarui Gan, Julian Gutierrez, Paul Harrenstein, Michael J. Wooldridge |