| 2022 | "Go to the Children": Rethinking Intelligent Agent Design and Programming in a Developmental Learning Perspective. Alessandro Ricci |
| 2022 | (Almost) Envy-Free, Proportional and Efficient Allocations of an Indivisible Mixed Manna. Vasilis Livanos, Ruta Mehta, Aniket Murhekar |
| 2022 | 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022, Auckland, New Zealand, May 9-13, 2022 Piotr Faliszewski, Viviana Mascardi, Catherine Pelachaud, Matthew E. Taylor |
| 2022 | A Declarative Framework for Maximal Saïd Jabbour, Nizar Mhadhbi, Badran Raddaoui, Lakhdar Sais |
| 2022 | A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms. Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes |
| 2022 | A Distributed Differentially Private Algorithm for Resource Allocation in Unboundedly Large Settings. Panayiotis Danassis, Aleksei Triastcyn, Boi Faltings |
| 2022 | A Graph Neural Network Reasoner for Game Description Language. Alvaro Gunawan, Ji Ruan, Xiaowei Huang |
| 2022 | A Graph-Based Algorithm for the Automated Justification of Collective Decisions. Oliviero Nardi, Arthur Boixel, Ulle Endriss |
| 2022 | A Hierarchical Bayesian Process for Inverse RL in Partially-Controlled Environments. Kenneth D. Bogert, Prashant Doshi |
| 2022 | A Mean Field Game Model of Spatial Evolutionary Games. Vincent Hsiao, Dana S. Nau |
| 2022 | A Multi-Agent System for Automated Machine Learning. Bruno Fernandes, Paulo Novais, Cesar Analide |
| 2022 | A New Porous Structure for Modular Robots. Jad Bassil, Benoît Piranda, Abdallah Makhoul, Julien Bourgeois |
| 2022 | A Path-following Polynomial Equations Systems Approach for Computing Nash Equilibria. Hélène Fargier, Paul Jourdan, Régis Sabbadin |
| 2022 | A Refined Complexity Analysis of Fair Districting over Graphs. Niclas Boehmer, Tomohiro Koana, Rolf Niedermeier |
| 2022 | A Simulation Based Online Planning Algorithm for Multi-Agent Cooperative Environments. Rafid Ameer Mahmud, Fahim Faisal, Saaduddin Mahmud, Md. Mosaddek Khan |
| 2022 | A Stit Logic of Responsibility. Aldo Iván Ramírez Abarca, Jan M. Broersen |
| 2022 | A Symbolic Representation for Probabilistic Dynamic Epistemic Logic. Sébastien Gamblin, Alexandre Niveau, Maroua Bouzid |
| 2022 | ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments. Yash Shukla, Christopher Thierauf, Ramtin Hosseini, Gyan Tatiya, Jivko Sinapov |
| 2022 | ASM-PPO: Asynchronous and Scalable Multi-Agent PPO for Cooperative Charging. Yongheng Liang, Hejun Wu, Haitao Wang |
| 2022 | Active Generation of Logical Rules for POMCP Shielding. Giulio Mazzi, Alberto Castellini, Alessandro Farinelli |
| 2022 | AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning. Matheus Aparecido do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino |
| 2022 | Adaptive Aggregation Weight Assignment for Federated Learning: A Deep Reinforcement Learning Approach. Enwei Guo, Xiumin Wang, Weiwei Wu |
| 2022 | Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning. Jiachen Yang, Ethan Wang, Rakshit S. Trivedi, Tuo Zhao, Hongyuan Zha |
| 2022 | Advising Agent for Service-Providing Live-Chat Operators. Aviram Aviv, Yaniv Oshrat, Samuel A. Assefa, Tobi Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus |
| 2022 | Agent-Assisted Life-Long Education and Learning. Tomas Trescak, Roger Lera-Leri, Filippo Bistaffa, Juan A. Rodríguez-Aguilar |
| 2022 | Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning. Baicen Xiao, Bhaskar Ramasubramanian, Radha Poovendran |
| 2022 | Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning. Jennifer She, Jayesh K. Gupta, Mykel J. Kochenderfer |
| 2022 | Agent-based Modeling and Simulation for Malware Spreading in D2D Networks. Ziyad Benomar, Chaima Ghribi, Elie Cali, Alexander Hinsen, Benedikt Jahnel |
| 2022 | An Agent-Based Simulator for Maritime Transport Decarbonisation. Jan Bürmann, Dimitar Georgiev, Enrico H. Gerding, Lewis Hill, Obaid Malik, Alexandru Pop, Matthew Pun, Sarvapali D. Ramchurn, Elliot Salisbury, Ivan Stojanovic |
| 2022 | An Agent-based Model for Emergency Evacuation from a Multi-floor Building. Xiaoyan Zhang, Graham Coates, Sarah Dunn, Jean Hall |
| 2022 | An Anytime Heuristic Algorithm for Allocating Many Teams to Many Tasks. Athina Georgara, Juan A. Rodríguez-Aguilar, Carles Sierra, Ornella Mich, Raman Kazhamiakin, Alessio Palmero Aprosio, Jean-Christophe R. Pazzaglia |
| 2022 | Anomaly Guided Policy Learning from Imperfect Demonstrations. Zi-Xuan Chen, Xin-Qiang Cai, Yuan Jiang, Zhi-Hua Zhou |
| 2022 | Anti-Malware Sandbox Games. Sujoy Sikdar, Sikai Ruan, Qishen Han, Paween Pitimanaaree, Jeremy Blackthorne, Bülent Yener, Lirong Xia |
| 2022 | Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination. Keane Lucas, Ross E. Allen |
| 2022 | Approaching the Overbidding Puzzle in All-Pay Auctions: Explaining Human Behavior through Bayesian Optimization and Equilibrium Learning. Markus Ewert, Stefan Heidekrüger, Martin Bichler |
| 2022 | Argumentative Forecasting. Benjamin Irwin, Antonio Rago, Francesca Toni |
| 2022 | Asynchronous Opinion Dynamics in Social Networks. Petra Berenbrink, Martin Hoefer, Dominik Kaaser, Pascal Lenzner, Malin Rau, Daniel Schmand |
| 2022 | Auction-based and Distributed Optimization Approaches for Scheduling Observations in Satellite Constellations with Exclusive Orbit Portions. Gauthier Picard |
| 2022 | Augmented Democratic Deliberation: Can Conversational Agents Boost Deliberation in Social Media? Rafik Hadfi, Takayuki Ito |
| 2022 | Augmented Reality Visualizations using Imitation Learning for Collaborative Warehouse Robots. Kishan Chandan, Jack Albertson, Shiqi Zhang |
| 2022 | Automated Configuration and Usage of Strategy Portfolios Mixed-Motive Bargaining. Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker |
| 2022 | Automated Story Sifting Using Story Arcs. Wilkins Leong, Julie Porteous, John Thangarajah |
| 2022 | Automatic Calibration Framework of Agent-based Models for Dynamic and Heterogeneous Parameters. Dongjun Kim, Tae-Sub Yun, Il-Chul Moon, Jang Won Bae |
| 2022 | Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles. Paul Tylkin, Tsun-Hsuan Wang, Tim Seyde, Kyle Palko, Ross E. Allen, Alexander Amini, Daniela Rus |
| 2022 | Autonomous Swarm Shepherding Using Curriculum-Based Reinforcement Learning. Aya Hussein, Eleni Petraki, Sondoss Elsawah, Hussein A. Abbass |
| 2022 | BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs. Sammie Katt, Hai Nguyen, Frans A. Oliehoek, Christopher Amato |
| 2022 | BOID*: Autonomous Goal Deliberation through Abduction. Stipe Pandzic, Jan M. Broersen, Henk Aarts |
| 2022 | Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment. Devansh Jalota, Kiril Solovey, Matthew Tsao, Stephen Zoepf, Marco Pavone |
| 2022 | Bayesian Persuasion Meets Mechanism Design: Going Beyond Intractability with Type Reporting. Matteo Castiglioni, Alberto Marchesi, Nicola Gatti |
| 2022 | Be Considerate: Avoiding Negative Side Effects in Reinforcement Learning. Parand Alizadeh Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith |
| 2022 | Behavior Exploration and Team Balancing for Heterogeneous Multiagent Coordination. Gaurav Dixit, Kagan Tumer |
| 2022 | Behavior vs Appearance: What Type of Adaptations are More Socially Motivated? Diogo Rato, Marta Couto, Rui Prada |
| 2022 | Being Central on the Cheap: Stability in Heterogeneous Multiagent Centrality Games. Gabriel Istrate, Cosmin Bonchis |
| 2022 | Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs. Mustafa Mert Çelikok, Frans A. Oliehoek, Samuel Kaski |
| 2022 | Betweenness Centrality in Multi-Agent Path Finding. Eric Ewing, Jingyao Ren, Dhvani Kansara, Vikraman Sathiyanarayanan, Nora Ayanian |
| 2022 | Beyond Cake Cutting: Allocating Homogeneous Divisible Goods. Ioannis Caragiannis, Vasilis Gkatzelis, Alexandros Psomas, Daniel Schoepflin |
| 2022 | Beyond Uninformed Search: Improving Branch-and-bound Based Acceleration Algorithms for Belief Propagation via Heuristic Strategies. Junsong Gao, Ziyu Chen, Dingding Chen, Wenxin Zhang |
| 2022 | Budget Feasible Mechanisms in Auction Markets: Truthfulness, Diffusion and Fairness. Xiang Liu |
| 2022 | Budgeted Combinatorial Multi-Armed Bandits. Debojit Das, Shweta Jain, Sujit Gujar |
| 2022 | Building Contrastive Explanations for Multi-Agent Team Formation. Athina Georgara, Juan A. Rodríguez-Aguilar, Carles Sierra |
| 2022 | CAPS: Comprehensible Abstract Policy Summaries for Explaining Reinforcement Learning Agents. Joe McCalmon, Thai Le, Sarra M. Alqahtani, Dongwon Lee |
| 2022 | COPALZ: A Computational Model of Pathological Appraisal Biases for an Interactive Virtual Alzheimer Patient. Amine Benamara, Jean-Claude Martin, Elise Prigent, Laurence Chaby, Mohamed Chetouani, Jean Zagdoun, Hélène Vanderstichel, Sébastien Dacunha, Brian Ravenet |
| 2022 | CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces. Keisuke Okumura, Ryo Yonetani, Mai Nishimura, Asako Kanezaki |
| 2022 | Can Algorithms be Explained Without Compromising Efficiency? The Benefits of Detection and Imitation in Strategic Classification. Flavia Barsotti, Rüya Gökhan Koçer, Fernando P. Santos |
| 2022 | Capacitated Network Design Games on a Generalized Fair Allocation Model. Tesshu Hanaka, Toshiyuki Hirose, Hirotaka Ono |
| 2022 | Cascades and Overexposure in Social Networks: The Budgeted Case. Mohammad T. Irfan, Kim Hancock, Laura M. Friel |
| 2022 | Cellulan World: Interactive Platform to Learn Swarm Behaviors. Hala Khodr, Barbara Bruno, Aditi Kothiyal, Pierre Dillenbourg |
| 2022 | Centralized Model and Exploration Policy for Multi-Agent RL. Qizhen Zhang, Christopher Lu, Animesh Garg, Jakob N. Foerster |
| 2022 | Chameleon - A Framework for Developing Conversational Agents for Medical Training Purposes. Al-Hussein Abutaleb, Bruno Yun |
| 2022 | Characterizing Attacks on Deep Reinforcement Learning. Xinlei Pan, Chaowei Xiao, Warren He, Shuang Yang, Jian Peng, Mingjie Sun, Mingyan Liu, Bo Li, Dawn Song |
| 2022 | Coaching Agent: Making Recommendations for Behavior Change. A Case Study on Improving Eating Habits. Jules Vandeputte, Antoine Cornuéjols, Nicolas Darcel, Fabien Delaere, Christine Martin |
| 2022 | Coalition Formation Games and Social Ranking Solutions. Roberto Lucchetti, Stefano Moretti, Tommaso Rea |
| 2022 | Collaborative Training of Multiple Autonomous Agents. Filippos Christianos |
| 2022 | Combining Quantitative and Qualitative Reasoning in Concurrent Multi-player Games. Nils Bulling, Valentin Goranko |
| 2022 | Computation and Bribery of Voting Power in Delegative Simple Games. Gianlorenzo D'Angelo, Esmaeil Delfaraz, Hugo Gilbert |
| 2022 | Computing Balanced Solutions for Large International Kidney Exchange Schemes. Márton Benedek, Péter Biró, Walter Kern, Daniël Paulusma |
| 2022 | Computing Nash Equilibria for District-based Nominations. Paul Harrenstein, Paolo Turrini |
| 2022 | Concave Utility Reinforcement Learning: The Mean-field Game Viewpoint. Matthieu Geist, Julien Pérolat, Mathieu Laurière, Romuald Elie, Sarah Perrin, Olivier Bachem, Rémi Munos, Olivier Pietquin |
| 2022 | Concise Representations and Complexity of Combinatorial Assignment Problems. Fredrik Präntare, George Osipov, Leif Eriksson |
| 2022 | Concurrent Negotiations with Global Utility Functions. Yasser Mohammad, Shinji Nakadai |
| 2022 | Context-Aware Modelling for Multi-Robot Systems Under Uncertainty. Charlie Street, Bruno Lacerda, Michal Staniaszek, Manuel Mühlig, Nick Hawes |
| 2022 | Contrastive Explanations for Argumentation-Based Conclusions. Annemarie Borg, Floris Bex |
| 2022 | Controller Synthesis for Omega-Regular and Steady-State Specifications. Alvaro Velasquez, Ismail Alkhouri, Andre Beckus, Ashutosh Trivedi, George K. Atia |
| 2022 | Cooperation and Learning Dynamics under Risk Diversity and Financial Incentives. Ramona Merhej, Fernando P. Santos, Francisco S. Melo, Mohamed Chetouani, Francisco C. Santos |
| 2022 | Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks. Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone |
| 2022 | Corruption in Auctions: Social Welfare Loss in Hybrid Multi-Unit Auctions. Andries van Beek, Ruben Brokkelkamp, Guido Schäfer |
| 2022 | D3C: Reducing the Price of Anarchy in Multi-Agent Learning. Ian Gemp, Kevin R. McKee, Richard Everett, Edgar A. Duéñez-Guzmán, Yoram Bachrach, David Balduzzi, Andrea Tacchetti |
| 2022 | Data-driven Agent-based Models for Optimal Evacuation of Large Metropolitan Areas for Improved Disaster Planning. Kazi Ashik Islam, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti |
| 2022 | Data-driven Approaches for Formal Synthesis of Dynamical Systems. Milad Kazemi |
| 2022 | Decision-Theoretic Planning for the Expected Scalarised Returns. Conor F. Hayes, Diederik M. Roijers, Enda Howley, Patrick Mannion |
| 2022 | Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration. Lukas Schäfer, Filippos Christianos, Josiah P. Hanna, Stefano V. Albrecht |
| 2022 | Deep Learnable Strategy Templates for Multi-Issue Bilateral Negotiation. Pallavi Bagga, Nicola Paoletti, Kostas Stathis |
| 2022 | Deep Reinforcement Learning for Active Wake Control. Grigory Neustroev, Sytze P. E. Andringa, Remco A. Verzijlbergh, Mathijs Michiel de Weerdt |
| 2022 | Demonstrating the Rapid Integration & Development Environment (RIDE): Embodied Conversational Agent (ECA) and Multiagent Capabilities. Arno Hartholt, Ed Fast, Andrew Leeds, Kevin Kim, Andrew Gordon, Kyle McCullough, Volkan Ustun, Sharon Mozgai |
| 2022 | Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response. George Z. Li, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti |
| 2022 | Descriptive and Prescriptive Visual Guidance to Improve Shared Situational Awareness in Human-Robot Teaming. Aaquib Tabrez, Matthew B. Luebbers, Bradley Hayes |
| 2022 | Designing Efficient and Fair Mechanisms for Multi-Type Resource Allocation. Xiaoxi Guo, Sujoy Sikdar, Haibin Wang, Lirong Xia, Yongzhi Cao, Hanpin Wang |
| 2022 | Designing Mechanisms for Participatory Budgeting. Simon Rey |
| 2022 | Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning. Seung Hyun Kim, Neale Van Stralen, Girish Chowdhary, Huy T. Tran |
| 2022 | Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems. Aditya S. Mate, Arpita Biswas, Christoph Siebenbrunner, Susobhan Ghosh, Milind Tambe |
| 2022 | Efficient Approximation Algorithms for the Inverse Semivalue Problem. Ilias Diakonikolas, Chrystalla Pavlou, John Peebles, Alistair Stewart |
| 2022 | Embodied Team Intelligence in Multi-Robot Systems. Esmaeil Seraj |
| 2022 | Emergent Cooperation from Mutual Acknowledgment Exchange. Thomy Phan, Felix Sommer, Philipp Altmann, Fabian Ritz, Lenz Belzner, Claudia Linnhoff-Popien |
| 2022 | Empathetic Reinforcement Learning Agents. Manisha Senadeera |
| 2022 | Empirical Estimates on Hand Manipulation are Recoverable: A Step Towards Individualized and Explainable Robotic Support in Everyday Activities. Alexander Wich, Holger Schultheis, Michael Beetz |
| 2022 | Enabling BDI Group Plans with Coordination Middleware: Semantics and Implementation. Stephen Cranefield |
| 2022 | Engineering Normative and Cognitive Agents with Emotions and Values. Sz-Ting Tzeng |
| 2022 | Ensemble and Incremental Learning for Norm Violation Detection. Thiago Freitas dos Santos, Nardine Osman, Marco Schorlemmer |
| 2022 | Environment Guided Interactive Reinforcement Learning: Learning from Binary Feedback in High-Dimensional Robot Task Environments. Isaac S. Sheidlower, Elaine Schaertl Short, Allison Moore |
| 2022 | Epistemic Reasoning in Jason. Michael J. Vezina, Babak Esfandiari |
| 2022 | Equilibria in Schelling Games: Computational Hardness and Robustness. Luca Kreisel, Niclas Boehmer, Vincent Froese, Rolf Niedermeier |
| 2022 | Equilibrium Computation For Knockout Tournaments Played By Groups. Grzegorz Lisowski, M. S. Ramanujan, Paolo Turrini |
| 2022 | Ev-IDID: Enhancing Solutions to Interactive Dynamic Influence Diagrams through Evolutionary Algorithms. Biyang Ma, Yinghui Pan, Yifeng Zeng, Zhong Ming |
| 2022 | Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis. Yongzhao Wang, Gary Qiurui Ma, Michael P. Wellman |
| 2022 | Evaluating the Role of Interactivity on Improving Transparency in Autonomous Agents. Peizhu Qian, Vaibhav V. Unhelkar |
| 2022 | Explainability in Multi-Agent Path/Motion Planning: User-study-driven Taxonomy and Requirements. Martim Brandao, Masoumeh Mansouri, Areeb Mohammed, Paul Luff, Amanda Jane Coles |
| 2022 | Exploiting Causal Structure for Transportability in Online, Multi-Agent Environments. Axel Browne, Andrew Forney |
| 2022 | Exploration and Communication for Partially Observable Collaborative Multi-Agent Reinforcement Learning. Raphaël Avalos |
| 2022 | FCMNet: Full Communication Memory Net for Team-Level Cooperation in Multi-Agent Systems. Yutong Wang, Guillaume Sartoretti |
| 2022 | Facility Location With Approval Preferences: Strategyproofness and Fairness. Edith Elkind, Minming Li, Houyu Zhou |
| 2022 | Factorial Agent Markov Model: Modeling Other Agents' Behavior in presence of Dynamic Latent Decision Factors. Liubove Orlov-Savko, Abhinav Jain, Gregory M. Gremillion, Catherine E. Neubauer, Jonroy D. Canady, Vaibhav V. Unhelkar |
| 2022 | Fair Allocation Problems in Reviewer Assignment. Justin Payan |
| 2022 | Fair Stable Matching Meets Correlated Preferences. Angelina Brilliantova, Hadi Hosseini |
| 2022 | Fair and Truthful Mechanism with Limited Subsidy. Hiromichi Goko, Ayumi Igarashi, Yasushi Kawase, Kazuhisa Makino, Hanna Sumita, Akihisa Tamura, Yu Yokoi, Makoto Yokoo |
| 2022 | Forgiving Debt in Financial Network Games. Panagiotis Kanellopoulos, Maria Kyropoulou, Hao Zhou |
| 2022 | Foundations for Grassroots Democratic Metaverse. Ehud Shapiro, Nimrod Talmon |
| 2022 | Fully-Autonomous, Vision-based Traffic Signal Control: From Simulation to Reality. Deepeka Garg, Maria Chli, George Vogiatzis |
| 2022 | GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning. Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu |
| 2022 | GDL as a Unifying Domain Description Language for Declarative Automated Negotiation. Dave de Jonge, Dongmo Zhang |
| 2022 | Goal-Driven Active Learning. Nicolas Bougie, Ryutaro Ichise |
| 2022 | Graphical Representation Enhances Human Compliance with Principles for Graded Argumentation Semantics. Srdjan Vesic, Bruno Yun, Predrag Teovanovic |
| 2022 | Group Fairness in Bandits with Biased Feedback. Candice Schumann, Zhi Lang, Nicholas Mattei, John P. Dickerson |
| 2022 | Group-level Fairness Maximization in Online Bipartite Matching. Will Ma, Pan Xu, Yifan Xu |
| 2022 | Guaranteeing Half-Maximin Shares Under Cardinality Constraints. Halvard Hummel, Magnus Lie Hetland |
| 2022 | Hacking the Colony: On the Disruptive Effect of Misleading Pheromone and How to Defend against It. Ashay Aswale, Antonio López, Aukkawut Ammartayakun, Carlo Pinciroli |
| 2022 | Hierarchical Value Decomposition for Effective On-demand Ride-Pooling. Jiang Hao, Pradeep Varakantham |
| 2022 | How Hard is Bribery in Elections with Randomly Selected Voters. Liangde Tao, Lin Chen, Lei Xu, Weidong Shi, Ahmed Sunny, Md Mahabub Uz Zaman |
| 2022 | How Hard is Safe Bribery? Neel Karia, Faraaz Mallick, Palash Dey |
| 2022 | How to Fairly Allocate Easy and Difficult Chores. Soroush Ebadian, Dominik Peters, Nisarg Shah |
| 2022 | How to Train PointGoal Navigation Agents on a (Sample and Compute) Budget. Erik Wijmans, Irfan Essa, Dhruv Batra |
| 2022 | How to Train Your Agent: Active Learning from Human Preferences and Justifications in Safety-critical Environments. Ilias Kazantzidis, Timothy J. Norman, Yali Du, Christopher T. Freeman |
| 2022 | I Will Have Order! Optimizing Orders for Fair Reviewer Assignment. Justin Payan, Yair Zick |
| 2022 | Implementation of Actual Data for Artificial Market Simulation. Masanori Hirano, Kiyoshi Izumi, Hiroki Sakaji |
| 2022 | Improving Generalization with Cross-State Behavior Matching in Deep Reinforcement Learning. Guan-Ting Liu, Guan-Yu Lin, Pu-Jen Cheng |
| 2022 | Incentive Design for Equitable Resource Allocation: Artificial Currencies and Allocation Constraints. Devansh Jalota |
| 2022 | Incentives to Invite Others to Form Larger Coalitions. Yao Zhang, Dengji Zhao |
| 2022 | Individual-Level Inverse Reinforcement Learning for Mean Field Games. Yang Chen, Libo Zhang, Jiamou Liu, Shuyue Hu |
| 2022 | Influencing Emergent Self-Assembled Structures in Robotic Collectives Through Traffic Control. Everardo Gonzalez, Lucie Houel, Radhika Nagpal, Melinda J. D. Malley |
| 2022 | Intelligent Communication over Realistic Wireless Networks in Multi-Agent Cooperative Games. Diyi Hu, Chi Zhang, Viktor K. Prasanna, Bhaskar Krishnamachari |
| 2022 | Intention-Aware Navigation in Crowds with Extended-Space POMDP Planning. Himanshu Gupta, Bradley Hayes, Zachary Sunberg |
| 2022 | Interpretable Preference-based Reinforcement Learning with Tree-Structured Reward Functions. Tom Bewley, Freddy Lécué |
| 2022 | Irrational Behaviour and Globalisation. Yuanzi Zhu, Carmine Ventre |
| 2022 | JEDAI: A System for Skill-Aligned Explainable Robot Planning. Naman Shah, Pulkit Verma, Trevor Angle, Siddharth Srivastava |
| 2022 | Justifying Social-Choice Mechanism Outcome for Improving Participant Satisfaction. Sharadhi Alape Suryanarayana, David Sarne, Sarit Kraus |
| 2022 | KnowLedger - A Multi-Agent System Blockchain for Smart Cities Data. Bruno Fernandes, André Diogo, Fábio Silva, José Neves, Cesar Analide |
| 2022 | Knowledge Transmission and Improvement Across Generations do not Need Strong Selection. Yasser Bourahla, Manuel Atencia, Jérôme Euzenat |
| 2022 | LB Yinghui Pan, Junhan Chen, Yifeng Zeng, Zhangrui Yao, Qianwen Li, Biyang Ma, Yi Ji, Zhong Ming |
| 2022 | Lazy-MDPs: Towards Interpretable RL by Learning When to Act. Alexis Jacq, Johan Ferret, Olivier Pietquin, Matthieu Geist |
| 2022 | Learning Efficient Diverse Communication for Cooperative Heterogeneous Teaming. Esmaeil Seraj, Zheyuan Wang, Rohan R. Paleja, Daniel Martin, Matthew Sklar, Anirudh Patel, Matthew C. Gombolay |
| 2022 | Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO. Paul Muller, Mark Rowland, Romuald Elie, Georgios Piliouras, Julien Pérolat, Mathieu Laurière, Raphaël Marinier, Olivier Pietquin, Karl Tuyls |
| 2022 | Learning Generalizable Multi-Lane Mixed-Autonomy Behaviors in Single Lane Representations of Traffic. Abdul Rahman Kreidieh, Yibo Zhao, Samyak Parajuli, Alexandre M. Bayen |
| 2022 | Learning Heuristics for Combinatorial Assignment by Optimally Solving Subproblems. Fredrik Präntare, Herman Appelgren, Mattias Tiger, David Bergström, Fredrik Heintz |
| 2022 | Learning Theory of Mind via Dynamic Traits Attribution. Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran |
| 2022 | Learning to Advise and Learning from Advice in Cooperative Multiagent Reinforcement Learning. Yue Jin, Shuangqing Wei, Jian Yuan, Xudong Zhang |
| 2022 | Learning to Transfer Role Assignment Across Team Sizes. Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran |
| 2022 | Little House (Seat) on the Prairie: Compactness, Gerrymandering, and Population Distribution. Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway |
| 2022 | Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning. Raphaël Avalos, Mathieu Reymond, Ann Nowé, Diederik M. Roijers |
| 2022 | Logical Theories of Collective Attitudes and the Belief Base Perspective. Emiliano Lorini, Éloan Rapion |
| 2022 | Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment. Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou |
| 2022 | Lyapunov Exponents for Diversity in Differentiable Games. Jonathan Lorraine, Paul Vicol, Jack Parker-Holder, Tal Kachman, Luke Metz, Jakob N. Foerster |
| 2022 | MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning. Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano Cavalcante Siebert |
| 2022 | Macro Ethics for Governing Equitable Sociotechnical Systems. Jessica Woodgate, Nirav Ajmeri |
| 2022 | Manipulation of Machine Learning Algoirhtms. Nicholas Bishop |
| 2022 | Max-sum with Quadtrees for Continuous DCOPs with Application to Lane-Free Autonomous Driving. Dimitrios Troullinos, Georgios Chalkiadakis, Vasilis Samoladas, Markos Papageorgiou |
| 2022 | Maximizing Resource Allocation Likelihood with Minimum Compromise. Yohai Trabelsi, Abhijin Adiga, Sarit Kraus, S. S. Ravi |
| 2022 | Measuring Resilience in Collective Robotic Algorithms. Jennifer Leaf, Julie A. Adams |
| 2022 | Minimizing Expected Intrusion Detection Time in Adversarial Patrolling. David Klaska, Antonín Kucera, Vít Musil, Vojtech Rehák |
| 2022 | Minimizing Robot Navigation Graph for Position-Based Predictability by Humans. Sriram Gopalakrishnan, Subbarao Kambhampati |
| 2022 | Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning. Wanqi Xue, Wei Qiu, Bo An, Zinovi Rabinovich, Svetlana Obraztsova, Chai Kiat Yeo |
| 2022 | Model-free and Model-based Reinforcement Learning, the Intersection of Learning and Planning. Piotr Januszewski |
| 2022 | Modeling Affective Reaction in Multi-agent Systems. Jieting Luo, Mehdi Dastani |
| 2022 | Moving Target Defense under Uncertainty for Web Applications. Vignesh Viswanathan, Megha Bose, Praveen Paruchuri |
| 2022 | Multi-Agent Adversarial Attacks for Multi-Channel Communications. Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh |
| 2022 | Multi-Agent Curricula and Emergent Implicit Signaling. Niko A. Grupen, Daniel D. Lee, Bart Selman |
| 2022 | Multi-Agent Heterogeneous Digital Twin Framework with Dynamic Responsibility Allocation for Complex Task Simulation. Adrian Simon Bauer, Anne Köpken, Daniel Leidner |
| 2022 | Multi-Agent Path Finding for Precedence-Constrained Goal Sequences. Han Zhang, Jingkai Chen, Jiaoyang Li, Brian C. Williams, Sven Koenig |
| 2022 | Multi-Objective Reinforcement Learning with Non-Linear Scalarization. Mridul Agarwal, Vaneet Aggarwal, Tian Lan |
| 2022 | Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs. Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal |
| 2022 | Multi-agent Task Allocation for Fruit Picker Team Formation. Helen Harman, Elizabeth I. Sklar |
| 2022 | Multi-unit Double Auctions: Equilibrium Analysis and Bidding Strategy using DDPG in Smart-grids. Sanjay Chandlekar, Easwar Subramanian, Sanjay P. Bhat, Praveen Paruchuri, Sujit Gujar |
| 2022 | Multiagent Dynamics of Gradual Argumentation Semantics. Louise Dupuis de Tarlé, Elise Bonzon, Nicolas Maudet |
| 2022 | Multiagent Model-based Credit Assignment for Continuous Control. Dongge Han, Chris Xiaoxuan Lu, Tomasz P. Michalak, Michael J. Wooldridge |
| 2022 | Multiagent Q-learning with Sub-Team Coordination. Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng |
| 2022 | Multimodal Analysis of the Predictability of Hand-gesture Properties. Taras Kucherenko, Rajmund Nagy, Michael Neff, Hedvig Kjellström, Gustav Eje Henter |
| 2022 | Multimodal Reinforcement Learning with Effective State Representation Learning. Jinming Ma, Yingfeng Chen, Feng Wu, Xianpeng Ji, Yu Ding |
| 2022 | Multivariate Algorithmics for Eliminating Envy by Donating Goods. Niclas Boehmer, Robert Bredereck, Klaus Heeger, Dusan Knop, Junjie Luo |
| 2022 | Near On-Policy Experience Sampling in Multi-Objective Reinforcement Learning. Shang Wang, Mathieu Reymond, Athirai A. Irissappane, Diederik M. Roijers |
| 2022 | Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah |
| 2022 | Negotiated Path Planning for Non-Cooperative Multi-Robot Systems. Anna Gautier, Alex Stephens, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge |
| 2022 | Networked Restless Multi-Armed Bandits for Mobile Interventions. Han-Ching Ou, Christoph Siebenbrunner, Jackson A. Killian, Meredith B. Brooks, David Kempe, Yevgeniy Vorobeychik, Milind Tambe |
| 2022 | Non-Cooperative Multi-Robot Planning Under Shared Resources. Anna Gautier |
| 2022 | Non-Parametric Neuro-Adaptive Coordination of Multi-Agent Systems. Christos K. Verginis, Zhe Xu, Ufuk Topcu |
| 2022 | Off-Policy Correction For Multi-Agent Reinforcement Learning. Michal Zawalski, Blazej Osinski, Henryk Michalewski, Piotr Milos |
| 2022 | Off-Policy Evolutionary Reinforcement Learning with Maximum Mutations. Karush Suri |
| 2022 | On Achieving Leximin Fairness and Stability in Many-to-One Matchings. Shivika Narang, Arpita Biswas, Yadati Narahari |
| 2022 | On Agent Incentives to Manipulate Human Feedback in Multi-Agent Reward Learning Scenarios. Francis Rhys Ward, Francesca Toni, Francesco Belardinelli |
| 2022 | On Fair and Efficient Solutions for Budget Apportionment. Pierre Cardi, Laurent Gourvès, Julien Lesca |
| 2022 | On Parameterized Complexity of Binary Networked Public Goods Game. Arnab Maiti, Palash Dey |
| 2022 | On the Average-Case Complexity of Predicting Round-Robin Tournaments. Dorothea Baumeister, Tobias Hogrebe |
| 2022 | On the Complexity of Controlling Amendment and Successive Winners. Yongjie Yang |
| 2022 | On-the-fly Strategy Adaptation for ad-hoc Agent Coordination. Jaleh Zand, Jack Parker-Holder, Stephen J. Roberts |
| 2022 | One-Sided Matching Markets with Endowments: Equilibria and Algorithms. Jugal Garg, Thorben Tröbst, Vijay V. Vazirani |
| 2022 | Online Collective Multiagent Planning by Offline Policy Reuse with Applications to City-Scale Mobility-on-Demand Systems. Wanyuan Wang, Gerong Wu, Weiwei Wu, Yichuan Jiang, Bo An |
| 2022 | Online Learning against Strategic Adversary. Le Cong Dinh |
| 2022 | Optimal Local Bayesian Differential Privacy over Markov Chains. Darshan Chakrabarti, Jie Gao, Aditya Saraf, Grant Schoenebeck, Fang-Yi Yu |
| 2022 | Optimal Matchings with One-Sided Preferences: Fixed and Cost-Based Quotas. Santhini K. A., Govind S. Sankar, Meghana Nasre |
| 2022 | Optimizing Multi-Agent Coordination via Hierarchical Graph Probabilistic Recursive Reasoning. Saar Cohen, Noa Agmon |
| 2022 | Ordinal Maximin Share Approximation for Chores. Hadi Hosseini, Andrew Searns, Erel Segal-Halevi |
| 2022 | Parameterized Algorithms for Kidney Exchange. Arnab Maiti, Palash Dey |
| 2022 | Pareto Conditioned Networks. Mathieu Reymond, Eugenio Bargiacchi, Ann Nowé |
| 2022 | Pareto Optimal and Popular House Allocation with Lower and Upper Quotas. Ágnes Cseh, Tobias Friedrich, Jannik Peters |
| 2022 | Performance of Deep Reinforcement Learning for High Frequency Market Making on Actual Tick Data. Ziyi Xu, Xue Cheng, Yangbo He |
| 2022 | Pippi: Practical Protocol Instantiation. Samuel H. Christie V., Amit K. Chopra, Munindar P. Singh |
| 2022 | Planning Not to Talk: Multiagent Systems that are Robust to Communication Loss. Mustafa O. Karabag, Cyrus Neary, Ufuk Topcu |
| 2022 | Planning, Execution, and Adaptation for Multi-Robot Systems using Probabilistic and Temporal Planning. Yaniel Carreno, Jun Hao Alvin Ng, Yvan R. Petillot, Ron P. A. Petrick |
| 2022 | Poincaré-Bendixson Limit Sets in Multi-Agent Learning. Aleksander Czechowski, Georgios Piliouras |
| 2022 | Popularity and Strict Popularity in Altruistic Hedonic Games and Minimum-Based Altruistic Hedonic Games. Anna Maria Kerkmann, Jörg Rothe |
| 2022 | Position-Based Matching with Multi-Modal Preferences. Yinghui Wen, Aizhong Zhou, Jiong Guo |
| 2022 | Pre-trained Language Models as Prior Knowledge for Playing Text-based Games. Ishika Singh, Gargi Singh, Ashutosh Modi |
| 2022 | Preference-Based Goal Refinement in BDI Agents. Mostafa Mohajeri Parizi, Giovanni Sileno, Tom M. van Engers |
| 2022 | Priced Gerrymandering. Palash Dey |
| 2022 | Proof-of-Work as a Stigmergic Consensus Algorithm. Önder Gürcan |
| 2022 | Properties of Reputation Lag Attack Strategies. Sean Sirur, Tim Muller |
| 2022 | Proportional Representation in Matching Markets: Selecting Multiple Matchings under Dichotomous Preferences. Niclas Boehmer, Markus Brill, Ulrike Schmidt-Kraepelin |
| 2022 | Quantitative Group Trust: A Two-Stage Verification Approach. Jamal Bentahar, Nagat Drawel, Abdeladim Sadiki |
| 2022 | R-CHECK: A Model Checker for Verifying Reconfigurable MAS. Yehia Abd Alrahman, Shaun Azzopardi, Nir Piterman |
| 2022 | RASS: Risk-Aware Swarm Storage. Samuel Arseneault, David Vielfaure, Giovanni Beltrame |
| 2022 | REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing. Samhita Kanaparthy, Sankarshan Damle, Sujit Gujar |
| 2022 | REMAX: Relational Representation for Multi-Agent Exploration. Heechang Ryu, Hayong Shin, Jinkyoo Park |
| 2022 | Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual. Seyed A. Esmaeili, Sharmila Duppala, Vedant Nanda, Aravind Srinivasan, John P. Dickerson |
| 2022 | Reaching Consensus Under a Deadline. Marina Bannikova, Lihi Dery, Svetlana Obraztsova, Zinovi Rabinovich, Jeffrey S. Rosenschein |
| 2022 | Reasoning about Human-Friendly Strategies in Repeated Keyword Auctions. Francesco Belardinelli, Wojtek Jamroga, Vadim Malvone, Munyque Mittelmann, Aniello Murano, Laurent Perrussel |
| 2022 | Reduction-based Solving of Multi-agent Pathfinding on Large Maps Using Graph Pruning. Matej Husár, Jirí Svancara, Philipp Obermeier, Roman Barták, Torsten Schaub |
| 2022 | Refined Hardness of Distance-Optimal Multi-Agent Path Finding. Tzvika Geft, Dan Halperin |
| 2022 | Reinforcement Learning for Traffic Signal Control Optimization: A Concept for Real-World Implementation. Henri Meess, Jeremias Gerner, Daniel Hein, Stefanie Schmidtner, Gordon Elger |
| 2022 | Relaxed Notions of Condorcet-Consistency and Efficiency for Strategyproof Social Decision Schemes. Felix Brandt, Patrick Lederer, René Romen |
| 2022 | Residual Entropy-based Graph Generative Algorithms. Wencong Liu, Jiamou Liu, Zijian Zhang, Yiwei Liu, Liehuang Zhu |
| 2022 | Resource-Aware Adaptation of Heterogeneous Strategies for Coalition Formation. Anusha Srikanthan, Harish Ravichandar |
| 2022 | Revenue and User Traffic Maximization in Mobile Short-Video Advertising. Dezhi Ran, Weiqiang Zheng, Yunqi Li, Kaigui Bian, Jie Zhang, Xiaotie Deng |
| 2022 | Robots Teaching Humans: A New Communication Paradigm via Reverse Teleoperation. Rika Antonova, Ankur Handa |
| 2022 | Robust Learning from Observation with Model Misspecification. Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller |
| 2022 | Robust No-Regret Learning in Min-Max Stackelberg Games. Denizalp Goktas, Jiayi Zhao, Amy Greenwald |
| 2022 | SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning. Zhiwei Xu, Yunpeng Bai, Dapeng Li, Bin Zhang, Guoliang Fan |
| 2022 | SIERRA: A Modular Framework for Research Automation. John Harwell, London Lowmanstone, Maria L. Gini |
| 2022 | Safety Shields, an Automated Failure Handling Mechanism for BDI Agents. Angelo Ferrando, Rafael C. Cardoso |
| 2022 | Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent. Ian Gemp, Rahul Savani, Marc Lanctot, Yoram Bachrach, Thomas W. Anthony, Richard Everett, Andrea Tacchetti, Tom Eccles, János Kramár |
| 2022 | Scalable Multi-Agent Model-Based Reinforcement Learning. Vladimir Egorov, Alexey Shpilman |
| 2022 | Scaling Mean Field Games by Online Mirror Descent. Julien Pérolat, Sarah Perrin, Romuald Elie, Mathieu Laurière, Georgios Piliouras, Matthieu Geist, Karl Tuyls, Olivier Pietquin |
| 2022 | Segregation in Social Networks of Heterogeneous Agents Acting under Incomplete Information. D. Kai Zhang, Alexander Carver |
| 2022 | Selecting PhD Students and Projects with Limited Funding. Jatin Jindal, Jérôme Lang, Katarína Cechlárová, Julien Lesca |
| 2022 | Simulating Multiwinner Voting Rules in Judgment Aggregation. Julian Chingoma, Ulle Endriss, Ronald de Haan |
| 2022 | Social Choice Around the Block: On the Computational Social Choice of Blockchain. Davide Grossi |
| 2022 | Socially Supervised Representation Learning: The Role of Subjectivity in Learning Efficient Representations. Julius Taylor, Eleni Nisioti, Clément Moulin-Frier |
| 2022 | Solving N-Player Dynamic Routing Games with Congestion: A Mean-Field Approach. Theophile Cabannes, Mathieu Laurière, Julien Pérolat, Raphaël Marinier, Sertan Girgin, Sarah Perrin, Olivier Pietquin, Alexandre M. Bayen, Eric Goubault, Romuald Elie |
| 2022 | Speeding up Deep Reinforcement Learning through Influence-Augmented Local Simulators. Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek |
| 2022 | Spiking Pitch Black: Poisoning an Unknown Environment to Attack Unknown Reinforcement Learners. Hang Xu, Xinghua Qu, Zinovi Rabinovich |
| 2022 | Stable Matching Games. Felipe Garrido-Lucero, Rida Laraki |
| 2022 | Standby-Based Deadlock Avoidance Method for Multi-Agent Pickup and Delivery Tasks. Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara |
| 2022 | State Supervised Steering Function for Sampling-based Kinodynamic Planning. Pranav Atreya, Joydeep Biswas |
| 2022 | Status-quo Policy Gradient in Multi-Agent Reinforcement Learning. Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy |
| 2022 | Strategy-Proof House Allocation with Existing Tenants over Social Networks. Bo You, Ludwig Dierks, Taiki Todo, Minming Li, Makoto Yokoo |
| 2022 | Sympathy-based Reinforcement Learning Agents. Manisha Senadeera, Thommen George Karimpanal, Sunil Gupta, Santu Rana |
| 2022 | Tactile Pose Estimation and Policy Learning for Unknown Object Manipulation. Tarik Kelestemur, Robert Platt, Taskin Padir |
| 2022 | Task Generalisation in Multi-Agent Reinforcement Learning. Lukas Schäfer |
| 2022 | Testing Requirements via User and System Stories in Agent Systems. Sebastian Rodriguez, John Thangarajah, Michael Winikoff, Dhirendra Singh |
| 2022 | The Coaching Scenario: Recommender Systems with a Long Term Goal. A Case Study in Changing Dietary Habits. Jules Vandeputte |
| 2022 | The Competition and Inefficiency in Urban Road Last-Mile Delivery. Keyang Zhang, Jose Javier Escribano Macias, Dario Paccagnan, Panagiotis Angeloudis |
| 2022 | The Dynamics of Q-learning in Population Games: A Physics-inspired Continuity Equation Model. Shuyue Hu, Chin-wing Leung, Ho-fung Leung, Harold Soh |
| 2022 | The Ethical Acceptability of Artificial Social Agents. Ravi Vythilingam, Deborah Richards, Paul Formosa |
| 2022 | The Evolutionary Dynamics of Soft-Max Policy Gradient in Multi-Agent Settings. Martino Bernasconi, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Francesco Trovò |
| 2022 | The Generalized Magician Problem under Unknown Distributions and Related Applications. Aravind Srinivasan, Pan Xu |
| 2022 | The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts. Amanda Prorok, Jan Blumenkamp, Qingbiao Li, Ryan Kortvelesy, Zhe Liu, Ethan Stump |
| 2022 | The Price of Majority Support. Robin Fritsch, Roger Wattenhofer |
| 2022 | The Reputation Lag Attack. Sean Sirur |
| 2022 | The Spoofing Resistance of Frequent Call Markets. Buhong Liu, Maria Polukarov, Carmine Ventre, Lingbo Li, Leslie Kanthan, Fan Wu, Michail Basios |
| 2022 | Theoretical Models and Preliminary Results for Contact Tracing and Isolation. George Z. Li, Arash Haddadan, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Anil Vullikanti, Zeyu Zhao |
| 2022 | Three-Dimensional Popular Matching with Cyclic Preferences. Ágnes Cseh, Jannik Peters |
| 2022 | Towards Addressing Dynamic Multi-agent Task Allocation in Law Enforcement. Itshak Tkach, Sofia Amador Nelke |
| 2022 | Towards Anomaly Detection in Reinforcement Learning. Robert Müller, Steffen Illium, Thomy Phan, Tom Haider, Claudia Linnhoff-Popien |
| 2022 | Towards Assume-Guarantee Verification of Strategic Ability. Lukasz Mikulski, Wojciech Jamroga, Damian Kurpiewski |
| 2022 | Towards Multi-Agent Interactive Reinforcement Learning for Opportunistic Software Composition in Ambient Environments. Kevin Delcourt |
| 2022 | Towards Pluralistic Value Alignment: Aggregating Value Systems Through Roger Lera-Leri, Filippo Bistaffa, Marc Serramia, Maite López-Sánchez, Juan A. Rodríguez-Aguilar |
| 2022 | Towards an Enthymeme-Based Communication Framework. Alison R. Panisson, Peter McBurney, Rafael H. Bordini |
| 2022 | Tracking Truth by Weighting Proxies in Liquid Democracy. Yuzhe Zhang, Davide Grossi |
| 2022 | Trajectory Coordination based on Distributed Constraint Optimization Techniques in Unmanned Air Traffic Management. Gauthier Picard |
| 2022 | Transferable Environment Poisoning: Training-time Attack on Reinforcement Learner with Limited Prior Knowledge. Hang Xu |
| 2022 | Translating Omega-Regular Specifications to Average Objectives for Model-Free Reinforcement Learning. Milad Kazemi, Mateo Perez, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Alvaro Velasquez |
| 2022 | Trust Repair in Human-Agent Teams: The Effectiveness of Explanations and Expressing Regret. Esther S. Kox, Jose H. Kerstholt, T. F. Hueting, P. W. de Vries |
| 2022 | Unbiased Asymmetric Reinforcement Learning under Partial Observability. Andrea Baisero, Christopher Amato |
| 2022 | Using Agent-Based Simulator to Assess Interventions Against COVID-19 in a Small Community Generated from Map Data. Mitsuteru Abe, Fabio Henrique Kiyoiti dos Santos Tanaka, Jair Pereira Junior, Anna Bogdanova, Tetsuya Sakurai, Claus Aranha |
| 2022 | Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning. Naman Shah, Siddharth Srivastava |
| 2022 | Using Multi-objective Optimization to Generate Timely Responsive BDI Agents. Marcio Fernando Stabile Jr. |
| 2022 | Voting for Centrality. Ulrik Brandes, Christian Laußmann, Jörg Rothe |
| 2022 | Voting with Random Classifiers (VORACE): Theoretical and Experimental Analysis. Cristina Cornelio, Michele Donini, Andrea Loreggia, Maria Silvia Pini, Francesca Rossi |
| 2022 | Warmth and Competence in Human-Agent Cooperation. Kevin R. McKee, Xuechunzi Bai, Susan T. Fiske |
| 2022 | Welfare vs. Representation in Participatory Budgeting. Roy Fairstein, Dan Vilenchik, Reshef Meir, Kobi Gal |