| 2021 | A Blockchain-Enabled Quantitative Approach to Trust and Reputation Management with Sparse Evidence. Leonid Zeynalvand, Tie Luo, Ewa Andrejczuk, Dusit Niyato, Sin G. Teo, Jie Zhang |
| 2021 | A Collaborative Platform for Identifying Context-Specific Values. Enrico Liscio, Michiel van der Meer, Catholijn M. Jonker, Pradeep K. Murukannaiah |
| 2021 | A Computational Model of Coping for Simulating Human Behavior in High-Stress Situations. Nutchanon Yongsatianchot, Stacy Marsella |
| 2021 | A Concurrent Language for Negotiation and Debate with Argumentation. Carlo Taticchi |
| 2021 | A Decentralised Self-Healing Approach for Network Topology Maintenance. Arles Rodríguez, Jonatan Gómez, Ada Diaconescu |
| 2021 | A Distributional Perspective on Value Function Factorization Methods for Multi-Agent Reinforcement Learning. Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee |
| 2021 | A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents. Rajmund Nagy, Taras Kucherenko, Birger Moëll, André Pereira, Hedvig Kjellström, Ulysses Bernardet |
| 2021 | A Game Theoretical Analysis of Non-Linear Blockchain System. Lin Chen, Lei Xu, Zhimin Gao, Ahmed Imtiaz Sunny, Keshav Kasichainula, Weidong Shi |
| 2021 | A General Framework for the Logical Representation of Combinatorial Exchange Protocols. Munyque Mittelmann, Sylvain Bouveret, Laurent Perrussel |
| 2021 | A General Trust Framework for Multi-Agent Systems. Mingxi Cheng, Chenzhong Yin, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan |
| 2021 | A Generic Multi-Agent Model for Resource Allocation Strategies in Online On-Demand Transport with Autonomous Vehicles. Alaa Daoud, Flavien Balbo, Paolo Gianessi, Gauthier Picard |
| 2021 | A Global Multi-Sided Market with Ascending-Price Mechanism. Rica Gonen, Erel Segal-Halevi |
| 2021 | A Heuristic Algorithm for Multi-Agent Vehicle Routing with Automated Negotiation. Dave de Jonge, Filippo Bistaffa, Jordi Levy |
| 2021 | A Hotelling-Downs Framework for Party Nominees. Paul Harrenstein, Grzegorz Lisowski, Ramanujan Sridharan, Paolo Turrini |
| 2021 | A Knowledge Compilation Map for Conditional Preference Statements-based Languages. Hélène Fargier, Jérôme Mengin |
| 2021 | A Local Search Based Approach to Solve Continuous DCOPs. Amit Sarker, Moumita Choudhury, Md. Mosaddek Khan |
| 2021 | A Logic of Evaluation. Emiliano Lorini |
| 2021 | A Logic of Inferable in Multi-Agent Systems with Budget and Costs. Stefania Costantini, Andrea Formisano, Valentina Pitoni |
| 2021 | A Multi-Arm Bandit Approach To Subset Selection Under Constraints. Ayush Deva, Kumar Abhishek, Sujit Gujar |
| 2021 | A Norm Enforcement Mechanism for a Time-Constrained Conditional Normative Framework. Babatunde Opeoluwa Akinkunmi, Moyin Florence Babalola |
| 2021 | A Novelty-Centric Agent Architecture for Changing Worlds. Muhammad Faizan, Vasanth Sarathy, Gyan Tatiya, Shivam Goel, Saurav Gyawali, Mateo Guaman Castro, Jivko Sinapov, Matthias Scheutz |
| 2021 | A Strategic Analysis of Portfolio Compression. Katherine Mayo, Michael P. Wellman |
| 2021 | A Succinct Representation Scheme for Cooperative Games under Uncertainty. Errikos Streviniotis, Athina Georgara, Georgios Chalkiadakis |
| 2021 | AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, Virtual Event, United Kingdom, May 3-7, 2021. Frank Dignum, Alessio Lomuscio, Ulle Endriss, Ann Nowé |
| 2021 | ADT2AMAS: Managing Agents in Attack-Defence Scenarios. Jaime Arias, Wojciech Penczek, Laure Petrucci, Teofil Sidoruk |
| 2021 | ATPT: Automate Typhoon Contingency Plan Generation from Text. Yifeng Zeng, Zhangrui Yao, Yinghui Pan, Wanqing Chen, Junxin Zhou, Junhan Chen, Biyang Ma, Zhong Ming |
| 2021 | Accelerating Recursive Partition-Based Causal Structure Learning. Md. Musfiqur Rahman, Ayman Rasheed, Md. Mosaddek Khan, Mohammad Ali Javidian, Pooyan Jamshidi, Md. Mamun-Or-Rashid |
| 2021 | Accumulating Risk Capital Through Investing in Cooperation. Charlotte Roman, Michael Dennis, Andrew Critch, Stuart Russell |
| 2021 | Achieving Sybil-Proofness in Distributed Work Systems. Alexander Stannat, Can Umut Ileri, Dion Gijswijt, Johan Pouwelse |
| 2021 | Action Advising with Advice Imitation in Deep Reinforcement Learning. Ercument Ilhan, Jeremy Gow, Diego Perez Liebana |
| 2021 | Action Priors for Large Action Spaces in Robotics. Ondrej Biza, Dian Wang, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong |
| 2021 | Action Selection for Composable Modular Deep Reinforcement Learning. Vaibhav Gupta, Daksh Anand, Praveen Paruchuri, Akshat Kumar |
| 2021 | Active Perception within BDI Agents Reasoning Cycle. Gustavo R. Silva, Jomi F. Hübner, Leandro Buss Becker |
| 2021 | Active Screening for Recurrent Diseases: A Reinforcement Learning Approach. Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe |
| 2021 | Adaptable and Verifiable BDI Reasoning. Peter Stringer |
| 2021 | Adaptive Cascade Submodular Maximization. Shaojie Tang, Jing Yuan |
| 2021 | Adaptive Operating Hours for Improved Performance of Taxi Fleets. Rajiv Ranjan Kumar, Pradeep Varakantham, Shih-Fen Cheng |
| 2021 | Adversarial Learning in Revenue-Maximizing Auctions. Thomas Nedelec, Jules Baudet, Vianney Perchet, Noureddine El Karoui |
| 2021 | Agent Programming in the Cognitive Era. Rafael H. Bordini, Amal El Fallah Seghrouchni, Koen V. Hindriks, Brian Logan, Alessandro Ricci |
| 2021 | Aggregating Bipolar Opinions. Stefan Lauren, Francesco Belardinelli, Francesca Toni |
| 2021 | AlwaysSafe: Reinforcement Learning without Safety Constraint Violations during Training. Thiago D. Simão, Nils Jansen, Matthijs T. J. Spaan |
| 2021 | An Abstraction-based Method to Check Multi-Agent Deep Reinforcement-Learning Behaviors. Pierre El Mqirmi, Francesco Belardinelli, Borja G. León |
| 2021 | An Agent-Based Model to Predict Pedestrians Trajectories with an Autonomous Vehicle in Shared Spaces. Manon Prédhumeau, Lyuba Mancheva, Julie Dugdale, Anne Spalanzani |
| 2021 | An Autonomous Drive Balancing Strategy for the Design of Purpose in Open-ended Learning Robots. Alejandro Romero, Francisco Bellas, Richard J. Duro |
| 2021 | An Autonomous Negotiating Agent Framework with Reinforcement Learning based Strategies and Adaptive Strategy Switching Mechanism. Ayan Sengupta, Yasser Mohammad, Shinji Nakadai |
| 2021 | An Online Human-Agent Interaction System: A Brain-controlled Agent Playing Games in Unity. Zehong Cao, Jie Yun |
| 2021 | Anytime Multi-Agent Path Finding via Large Neighborhood Search. Jiaoyang Li, Zhe Chen, Daniel Harabor, Peter J. Stuckey, Sven Koenig |
| 2021 | Approval-Based Shortlisting. Martin Lackner, Jan Maly |
| 2021 | Approximate Difference Rewards for Scalable Multigent Reinforcement Learning. Arambam James Singh, Akshat Kumar, Hoong Chuin Lau |
| 2021 | Approximating Spatial Evolutionary Games using Bayesian Networks. Vincent Hsiao, Xinyue Pan, Dana S. Nau, Rina Dechter |
| 2021 | Argflow: A Toolkit for Deep Argumentative Explanations for Neural Networks. Adam Dejl, Chloe He, Pranav Mangal, Hasan Mohsin, Bogdan Surdu, Eduard Voinea, Emanuele Albini, Piyawat Lertvittayakumjorn, Antonio Rago, Francesca Toni |
| 2021 | Attention Actor-Critic Algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning. P. Parnika, Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Shalabh Bhatnagar |
| 2021 | Autonomous Agents and Multiagent Systems Challenges in Earth Observation Satellite Constellations. Gauthier Picard, Clément Caron, Jean-Loup Farges, Jonathan Guerra, Cédric Pralet, Stéphanie Roussel |
| 2021 | Autonomous Agents on the Edge of Things. Timotheus Kampik, Andres Gomez, Andrei Ciortea, Simon Mayer |
| 2021 | Axies: Identifying and Evaluating Context-Specific Values. Enrico Liscio, Michiel van der Meer, Luciano Cavalcante Siebert, Catholijn M. Jonker, Niek Mouter, Pradeep K. Murukannaiah |
| 2021 | Balancing Fairness, Efficiency and Strategy-Proofness in Voting and Facility Location Problems. Alexander Lam |
| 2021 | Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments. Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman |
| 2021 | Better Metrics for Evaluating Explainable Artificial Intelligence. Avi Rosenfeld |
| 2021 | Beyond "To Act or Not to Act": Fast Lagrangian Approaches to General Multi-Action Restless Bandits. Jackson A. Killian, Andrew Perrault, Milind Tambe |
| 2021 | Branch-and-Bound Heuristics for Incomplete DCOPs. Atena M. Tabakhi, Yuanming Xiao, William Yeoh, Roie Zivan |
| 2021 | Broadening the Research Agenda for Computational Social Choice: Multiple Preference Profiles and Multiple Solutions. Niclas Boehmer, Rolf Niedermeier |
| 2021 | CHARET: Character-centered Approach to Emotion Tracking in Stories. Diogo S. Carvalho, Joana Campos, Manuel Guimarães, Ana Antunes, João Dias, Pedro A. Santos |
| 2021 | CMCF: An Architecture for Realtime Gesture Generation by Clustering Gestures by Motion and Communicative Function. Carolyn Saund, Andrei Bîrladeanu, Stacy Marsella |
| 2021 | Call Markets with Adaptive Clearing Intervals. Buhong Liu, Maria Polukarov, Carmine Ventre, Lingbo Li, Leslie Kanthan |
| 2021 | Classifying the Complexity of the Possible Winner Problem on Partial Chains. Vishal Chakraborty, Phokion G. Kolaitis |
| 2021 | Cognitive Homeostatic Agents. Amol Kelkar |
| 2021 | Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway. Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav V. Marathe, Rajesh Sundaresan, Milind Tambe |
| 2021 | Collaborative Multiagent Decision Making for Lane-Free Autonomous Driving. Dimitrios Troullinos, Georgios Chalkiadakis, Ioannis Papamichail, Markos Papageorgiou |
| 2021 | Combining LSTMs and Symbolic Approaches for Robust Plan Recognition. Leonardo Rosa Amado, Ramon Fraga Pereira, Felipe Meneguzzi |
| 2021 | Committee Selection using Attribute Approvals. Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Haris Aziz, Vikas Kumar |
| 2021 | Comparison of Desynchronization Methods for a Decentralized Swarm on a Logistical Resupply Problem. Joseph P. Giordano, Annie S. Wu, Arjun Pherwani, H. David Mathias |
| 2021 | Complexity of Scheduling and Predicting Round-Robin Tournaments. Dorothea Baumeister, Tobias Alexander Hogrebe |
| 2021 | Complexity of Sequential Rules in Judgment Aggregation. Dorothea Baumeister, Linus Boes, Robin Weishaupt |
| 2021 | Computing Desirable Outcomes in Specific Multi-Agent Scenarios. Martin Bullinger |
| 2021 | Computing the Extremal Possible Ranks with Incomplete Preferences. Aviram Imber, Benny Kimelfeld |
| 2021 | Computing using Samples: Theoretical Guarantees with the Direct Learning Approach. Vignesh Viswanathan |
| 2021 | Connections between Fairness Criteria and Efficiency for Allocating Indivisible Chores. Ankang Sun, Bo Chen, Xuan Vinh Doan |
| 2021 | Constructing Junction Tree Agent Organization with Privacy. Yang Xiang, Abdulrahman Alshememry |
| 2021 | Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning. Xueguang Lyu, Yuchen Xiao, Brett Daley, Christopher Amato |
| 2021 | Cooperation and Reputation Dynamics with Reinforcement Learning. Nicolas Anastassacos, Julian García, Stephen Hailes, Mirco Musolesi |
| 2021 | Cooperation between Independent Reinforcement Learners under Wealth Inequality and Collective Risks. Ramona Merhej, Fernando P. Santos, Francisco S. Melo, Francisco C. Santos |
| 2021 | Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations. Wenlei Shi, Xinran Wei, Jia Zhang, Xiaoyuan Ni, Arthur Jiang, Jiang Bian, Tie-Yan Liu |
| 2021 | Cooperative Prioritized Sweeping. Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers |
| 2021 | Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning. Heechang Ryu, Hayong Shin, Jinkyoo Park |
| 2021 | Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards. Keyang He, Bikramjit Banerjee, Prashant Doshi |
| 2021 | Coverage Control under Connectivity Constraints. Shota Kawajiri, Kazuki Hirashima, Masashi Shiraishi |
| 2021 | Cyber Attack Intent Recognition and Active Deception using Factored Interactive POMDPs. Aditya Shinde, Prashant Doshi, Omid Setayeshfar |
| 2021 | Deceptive Reinforcement Learning for Privacy-Preserving Planning. Zhengshang Liu, Yue Yang, Tim Miller, Peta Masters |
| 2021 | Decision Model for a Virtual Agent that can Touch and be Touched. Fabien Boucaud, Catherine Pelachaud, Indira Thouvenin |
| 2021 | Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning. Sheng Li, Jayesh K. Gupta, Peter Morales, Ross E. Allen, Mykel J. Kochenderfer |
| 2021 | Deep Interactive Bayesian Reinforcement Learning via Meta-Learning. Luisa M. Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann |
| 2021 | Design and Analysis of Networks under Strategic Behavior. Sixie Yu |
| 2021 | Difference Rewards Policy Gradients. Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani |
| 2021 | Distributed Q-Learning with State Tracking for Multi-agent Networked Control. Hang Wang, Sen Lin, Hamid Jafarkhani, Junshan Zhang |
| 2021 | Distributing Responsibilities for Exception Handling in JaCaMo. Matteo Baldoni, Cristina Baroglio, Olivier Boissier, Roberto Micalizio, Stefano Tedeschi |
| 2021 | Distributional Monte Carlo Tree Search for Risk-Aware and Multi-Objective Reinforcement Learning. Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion |
| 2021 | Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou-Ammar, Jun Wang, Matthew E. Taylor |
| 2021 | Drone Formation Control via Belief-Correlated Imitation Learning. Bo Yang, Chaofan Ma, Xiaofang Xia |
| 2021 | Dynamic Skill Selection for Learning Joint Actions. Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer |
| 2021 | ELVIRA: An Explainable Agent for Value and Utility-Driven Multiuser Privacy. Francesca Mosca, Jose M. Such |
| 2021 | Efficient Exact Computation of Setwise Minimax Regret for Interactive Preference Elicitation. Federico Toffano, Paolo Viappiani, Nic Wilson |
| 2021 | Efficient Nonmyopic Online Allocation of Scarce Reusable Resources. Zehao Dong, Sanmay Das, Patrick J. Fowler, Chien-Ju Ho |
| 2021 | Efficiently Guiding Imitation Learning Agents with Human Gaze. Akanksha Saran, Ruohan Zhang, Elaine Schaertl Short, Scott Niekum |
| 2021 | Egalitarian Judgment Aggregation. Sirin Botan, Ronald de Haan, Marija Slavkovik, Zoi Terzopoulou |
| 2021 | Egalitarian and Just Digital Currency Networks. Gal Shahaf, Ehud Shapiro, Nimrod Talmon |
| 2021 | Eliciting Fairness in Multiplayer Bargaining through Network-Based Role Assignment. Andreia Sofia Teixeira, Francisco C. Santos, Alexandre P. Francisco, Fernando P. Santos |
| 2021 | Emergent Communication under Competition. Michael Noukhovitch, Travis LaCroix, Angeliki Lazaridou, Aaron C. Courville |
| 2021 | Energy-Based Imitation Learning. Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang |
| 2021 | Environment Shift Games: Are Multiple Agents the Solution, and not the Problem, to Non-Stationarity? Alexander Mey, Frans A. Oliehoek |
| 2021 | Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice. Lewis Hammond, James Fox, Tom Everitt, Alessandro Abate, Michael J. Wooldridge |
| 2021 | Evaluating the Robustness of Collaborative Agents. Paul A. Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah |
| 2021 | Evolution of Strategies in Sequential Security Games. Adam Zychowski, Jacek Mandziuk |
| 2021 | Existence and Computation of Maximin Fair Allocations Under Matroid-Rank Valuations. Siddharth Barman, Paritosh Verma |
| 2021 | Explaining BDI Agent Behaviour through Dialogue. Louise A. Dennis, Nir Oren |
| 2021 | Exploiting Hidden Convexities for Real-time and Reliable Optimization Algorithms for Challenging Motion Planning and Control Applications. Fatemeh Rastgar |
| 2021 | Exploration of Indoor Environments through Predicting the Layout of Partially Observed Rooms. Matteo Luperto, Luca Fochetta, Francesco Amigoni |
| 2021 | Exploring the Relationship Between Social Choice and Machine Learning. Ben Armstrong |
| 2021 | Extended Goal Recognition: A Planning-Based Model for Strategic Deception. Peta Masters, Michael Kirley, Wally Smith |
| 2021 | Facial Feedback for Reinforcement Learning: A Case Study and Offline Analysis Using the TAMER Framework. Guangliang Li, Hamdi Dibeklioglu, Shimon Whiteson, Hayley Hung |
| 2021 | Fairness and Efficiency in Facility Location Problems with Continuous Demands. Chenhao Wang, Mengqi Zhang |
| 2021 | Fairness in Long-Term Participatory Budgeting. Martin Lackner, Jan Maly, Simon Rey |
| 2021 | Fast Adaptation to External Agents via Meta Imitation Counterfactual Regret Advantage. Mingyue Zhang, Zhi Jin, Yang Xu, Zehan Shen, Kun Liu, Keyu Pan |
| 2021 | Feasible Coalition Sequences. Tabajara Krausburg, Jürgen Dix, Rafael H. Bordini |
| 2021 | Finite-time Consensus in the Presence of Malicious Agents. Sachit Rao, Shrisha Rao |
| 2021 | Gambler Bandits and the Regret of Being Ruined. Filipo Studzinski Perotto, Sattar Vakili, Pratik Gajane, Yaser Faghan, Mathieu Bourgais |
| 2021 | Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference. Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi |
| 2021 | Graph-based Self-Adaptive Conversational Agent. Lan Zhang, Weihua Li, Quan Bai, Edmund M.-K. Lai |
| 2021 | Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel |
| 2021 | Group Fairness for Knapsack Problems. Deval Patel, Arindam Khan, Anand Louis |
| 2021 | Guiding Evolutionary Strategies with Off-Policy Actor-Critic. Yunhao Tang |
| 2021 | HOAD: The Hanabi Open Agent Dataset. Aron Sarmasi, Timothy Zhang, Chu-Hung Cheng, Huyen Pham, Xuanchen Zhou, Duong Nguyen, Soumil Shekdar, Joshua McCoy |
| 2021 | High-Multiplicity Fair Allocation Made More Practical. Robert Bredereck, Aleksander Figiel, Andrzej Kaczmarczyk, Dusan Knop, Rolf Niedermeier |
| 2021 | How to Amend a Constitution? Model, Axioms, and Supermajority Rules. Ben Abramowitz, Ehud Shapiro, Nimrod Talmon |
| 2021 | How to Guide a Non-Cooperative Learner to Cooperate: Exploiting No-Regret Algorithms in System Design. Nicholas Bishop, Le Cong Dinh, Long Tran-Thanh |
| 2021 | Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: A Rule-Based Approach. Giulio Mazzi, Alberto Castellini, Alessandro Farinelli |
| 2021 | Image Sequence Understanding through Narrative Sensemaking. Zev Battad, Mei Si |
| 2021 | Imitation Learning from Pixel-Level Demonstrations by HashReward. Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou |
| 2021 | Impact of Recommender Systems on the Dynamics of Users' Choices. Naieme Hazrati |
| 2021 | Improved Cooperation by Exploiting a Common Signal. Panayiotis Danassis, Zeki Doruk Erden, Boi Faltings |
| 2021 | Improving Sample-based Reinforcement Learning through Complex Non-parametric Distributions. Shi Yuan Tang |
| 2021 | Inducing Rules about Distributed Robotic Systems for Fault Detection & Diagnosis. Youssef Mahmoud Youssef |
| 2021 | Intention Progression using Quantitative Summary Information. Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah |
| 2021 | Intention-Aware Human-Robot Collaborative Design. Matthew V. Law |
| 2021 | Interpretive Blindness and the Impossibility of Learning from Testimony. Nicholas Asher, Julie Hunter |
| 2021 | Interrogating the Black Box: Transparency through Information-Seeking Dialogues. Andrea Aler Tubella, Andreas Theodorou, Juan Carlos Nieves |
| 2021 | Intrinsic Motivated Multi-Agent Communication. Chuxiong Sun, Bo Wu, Rui Wang, Xiaohui Hu, Xiaoya Yang, Cong Cong |
| 2021 | It's A Match! Gesture Generation Using Expressive Parameter Matching. Ylva Ferstl, Michael Neff, Rachel McDonnell |
| 2021 | Knowing Why - On the Dynamics of Knowledge about Actual Causes in the Situation Calculus. Shakil M. Khan, Yves Lespérance |
| 2021 | Knowledge Improvement and Diversity under Interaction-Driven Adaptation of Learned Ontologies. Yasser Bourahla, Manuel Atencia, Jérôme Euzenat |
| 2021 | Latency-Aware Local Search for Distributed Constraint Optimization. Ben Rachmut, Roie Zivan, William Yeoh |
| 2021 | Learning Competitive Equilibria in Noisy Combinatorial Markets. Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald |
| 2021 | Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork. Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang |
| 2021 | Learning Cooperative Solution Concepts from Voting Behavior: A Case Study on the Israeli Knesset. Omer Lev, Wei Lu, Alan Tsang, Yair Zick |
| 2021 | Learning Correlated Communication Topology in Multi-Agent Reinforcement learning. Yali Du, Bo Liu, Vincent Moens, Ziqi Liu, Zhicheng Ren, Jun Wang, Xu Chen, Haifeng Zhang |
| 2021 | Learning Index Policies for Restless Bandits with Application to Maternal Healthcare. Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe |
| 2021 | Learning Node-Selection Strategies in Bounded-Suboptimal Conflict-Based Search for Multi-Agent Path Finding. Taoan Huang, Bistra Dilkina, Sven Koenig |
| 2021 | Learning Policies for Effective Incentive Allocation in Unknown Social Networks. Shiqing Wu, Quan Bai, Weihua Li |
| 2021 | Learning Realistic and Safe Pedestrian Behavior by Imitation. José Aleixo Cruz |
| 2021 | Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments. Paul Tylkin, Goran Radanovic, David C. Parkes |
| 2021 | Learning to Cooperate with Unseen Agents Through Meta-Reinforcement Learning. Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul |
| 2021 | Let the DOCTOR Decide Whom to Test: Adaptive Testing Strategies to Tackle the COVID-19 Pandemic. Yu Liang, Amulya Yadav |
| 2021 | Leveraging Social Interactions in Human-Agent Decision-Making. Jihyun Jeong |
| 2021 | Log-time Prediction Markets for Interval Securities. Miroslav Dudík, Xintong Wang, David M. Pennock, David M. Rothschild |
| 2021 | Logic-based Specification and Verification of Homogeneous Dynamic Multi-agent Systems. Riccardo De Masellis, Valentin Goranko |
| 2021 | Logic-based Technologies for Multi-agent Systems: Summary of a Systematic Literature Review. Roberta Calegari, Giovanni Ciatto, Viviana Mascardi, Andrea Omicini |
| 2021 | Loss Bounds for Approximate Influence-Based Abstraction. Elena Congeduti, Alexander Mey, Frans A. Oliehoek |
| 2021 | MAPFAST: A Deep Algorithm Selector for Multi Agent Path Finding using Shortest Path Embeddings. Jingyao Ren, Vikraman Sathiyanarayanan, Eric Ewing, Baskin Senbaslar, Nora Ayanian |
| 2021 | MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation. Shusuke Shigenaka, Shunki Takami, Shuhei Watanabe, Yuki Tanigaki, Yoshihiko Ozaki, Masaki Onishi |
| 2021 | MOBLOT: Molecular Oblivious Robots. Serafino Cicerone, Alessia Di Fonso, Gabriele Di Stefano, Alfredo Navarra |
| 2021 | Manipulability of Thiele Methods on Party-List Profiles. Sirin Botan |
| 2021 | Maximizing Influence-Based Group Shapley Centrality. Ruben Becker, Gianlorenzo D'Angelo, Hugo Gilbert |
| 2021 | Mean-Payoff Games with ω-Regular Specifications. Thomas Steeples, Julian Gutierrez, Michael J. Wooldridge |
| 2021 | Mechanism Design Powered by Social Interactions. Dengji Zhao |
| 2021 | Mechanism Design for Housing Markets over Social Networks. Takehiro Kawasaki, Ryoji Wada, Taiki Todo, Makoto Yokoo |
| 2021 | Mechanism Design for Public Projects via Neural Networks. Guanhua Wang, Runqi Guo, Yuko Sakurai, Muhammad Ali Babar, Mingyu Guo |
| 2021 | Mechanism Design in Facility Location Games. Mengqi Zhang |
| 2021 | Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection. Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva |
| 2021 | Mitigating Negative Side Effects via Environment Shaping. Sandhya Saisubramanian, Shlomo Zilberstein |
| 2021 | Modeling Replicator Dynamics in Stochastic Games Using Markov Chain Method. Chuang Deng, Zhihai Rong, Lin Wang, Xiaofan Wang |
| 2021 | Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning. Xiaoteng Ma, Yiqin Yang, Chenghao Li, Yiwen Lu, Qianchuan Zhao, Jun Yang |
| 2021 | Modelling Cooperation in Network Games with Spatio-Temporal Complexity. Michiel A. Bakker, Richard Everett, Laura Weidinger, Iason Gabriel, William S. Isaac, Joel Z. Leibo, Edward Hughes |
| 2021 | Modelling Trust in Human-AI Interaction. Siddharth Mehrotra |
| 2021 | Models We Can Trust: Toward a Systematic Discipline of (Agent-Based) Model Interpretation and Validation. Gabriel Istrate |
| 2021 | Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies. Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti |
| 2021 | Multi-Agent Graph-Attention Communication and Teaming. Yaru Niu, Rohan R. Paleja, Matthew C. Gombolay |
| 2021 | Multi-Agent Ranked Delegations in Voting. Rachael Colley |
| 2021 | Multi-Agent Reinforcement Learning with Temporal Logic Specifications. Lewis Hammond, Alessandro Abate, Julian Gutierrez, Michael J. Wooldridge |
| 2021 | Multi-Robot Task Allocation-Complexity and Approximation. Haris Aziz, Hau Chan, Ágnes Cseh, Bo Li, Fahimeh Ramezani, Chenhao Wang |
| 2021 | Multi-modal Agents for Business Intelligence. Jeffrey O. Kephart |
| 2021 | Multiagent Epidemiologic Inference through Realtime Contact Tracing. Guni Sharon, James Ault, Peter Stone, Varun Raj Kompella, Roberto Capobianco |
| 2021 | Multiagent Task Allocation and Planning with Multi-Objective Requirements. Thomas Robinson, Guoxin Su, Minjie Zhang |
| 2021 | Multivariate Analysis of Scheduling Fair Competitions. Siddharth Gupta, Meirav Zehavi |
| 2021 | Nash Equilibria in Finite-Horizon Multiagent Concurrent Games. Senthil Rajasekaran, Moshe Y. Vardi |
| 2021 | Network Robustness via Global k-cores. Palash Dey, Suman Kalyan Maity, Sourav Medya, Arlei Silva |
| 2021 | No More Hand-Tuning Rewards: Masked Constrained Policy Optimization for Safe Reinforcement Learning. Stef Van Havermaet, Yara Khaluf, Pieter Simoens |
| 2021 | Non-manipulability in Set-valued and Probabilistic Social Choice Theory. Patrick Lederer |
| 2021 | Object Allocation Over a Network of Objects: Mobile Agents with Strict Preferences. Fu Li, C. Gregory Plaxton, Vaibhav B. Sinha |
| 2021 | Off-Policy Exploitability-Evaluation in Two-Player Zero-Sum Markov Games. Kenshi Abe, Yusuke Kaneko |
| 2021 | On Teammate-Pattern-Aware Autonomy. Edmund H. Durfee, Abhishek Thakur, Eli Goldweber |
| 2021 | On Weakly and Strongly Popular Rankings. Sonja Kraiczy, Ágnes Cseh, David F. Manlove |
| 2021 | On a Notion of Monotonic Support for Bipolar Argumentation Frameworks. Anis Gargouri, Sébastien Konieczny, Pierre Marquis, Srdjan Vesic |
| 2021 | On the Indecisiveness of Kelly-Strategyproof Social Choice Functions. Felix Brandt, Martin Bullinger, Patrick Lederer |
| 2021 | On the Sensory Commutativity of Action Sequences for Embodied Agents. Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat |
| 2021 | Online Learning of Shaping Reward with Subgoal Knowledge. Takato Okudo, Seiji Yamada |
| 2021 | Optimal Crowdfunding Design. Xiang Yan, Yiling Chen |
| 2021 | Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football. Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman, Sarvapali D. Ramchurn |
| 2021 | Optimized Execution of PDDL Plans using Behavior Trees. Francisco Martín Rico, Matteo Morelli, Huáscar Espinoza, Francisco J. Rodríguez-Lera, Vicente Matellán Olivera |
| 2021 | Parallel Curriculum Experience Replay in Distributed Reinforcement Learning. Yuyu Li, Jianmin Ji |
| 2021 | Partial Disclosure of Private Dependencies in Privacy Preserving Planning. Rotem Lev Lehman, Guy Shani, Roni Stern |
| 2021 | Partial Robustness in Team Formation: Bridging the Gap between Robustness and Resilience. Nicolas Schwind, Emir Demirovic, Katsumi Inoue, Jean-Marie Lagniez |
| 2021 | Partially Cooperative Multi-Agent Periodic Indivisible Resource Allocation. Yuval Gabai Schlosberg, Roie Zivan |
| 2021 | Partially Observable Mean Field Reinforcement Learning. Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart |
| 2021 | Partition Aggregation for Participatory Budgeting. Pallavi Jain, Nimrod Talmon, Laurent Bulteau |
| 2021 | Peer-to-peer Autonomous Agent Communication Network. Lokman Rahmani, David Minarsch, Jonathan Ward |
| 2021 | Personalising the Dialogue of Relational Agents for First-Time Users. Hedieh Ranjbartabar, Deborah Richards, Ayse Aysin Bilgin, Cat Kutay |
| 2021 | Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity. Marta Garnelo, Wojciech Marian Czarnecki, Siqi Liu, Dhruva Tirumala, Junhyuk Oh, Gauthier Gidel, Hado van Hasselt, David Balduzzi |
| 2021 | Predicting Voting Outcomes in Presence of Communities. Jacques Bara, Omer Lev, Paolo Turrini |
| 2021 | Preserving Consistency for Liquid Knapsack Voting. Pallavi Jain, Krzysztof Sornat, Nimrod Talmon |
| 2021 | Privacy-Preserving and Accountable Multi-agent Learning. Anudit Nagar, Cuong Tran, Ferdinando Fioretto |
| 2021 | Probabilistic Control Argumentation Frameworks. Fabrice Gaignier, Yannis Dimopoulos, Jean-Guy Mailly, Pavlos Moraitis |
| 2021 | Probabilistic Inference of Winners in Elections by Independent Random Voters. Aviram Imber, Benny Kimelfeld |
| 2021 | Programming Agent-based Mobile Apps: The JaCa-Android Framework. Angelo Croatti, Alessandro Ricci |
| 2021 | Promoting Fair Proposers, Fair Responders or Both? Cost-Efficient Interference in the Spatial Ultimatum Game. Theodor Cimpeanu, Cedric Perret, The Anh Han |
| 2021 | Quantified Announcements and Common Knowledge. Rustam Galimullin, Thomas Ågotnes |
| 2021 | Quantifying Human Perception with Multi-Armed Bandits. Julien Audiffren |
| 2021 | RPPLNS: Pay-per-last-N-shares with a Randomised Twist. Philip Lazos, Francisco J. Marmolejo Cossío, Xinyu Zhou, Jonathan Katz |
| 2021 | Rank Aggregation by Dissatisfaction Minimisation in the Unavailable Candidate Model. Arnaud Grivet Sébert, Nicolas Maudet, Patrice Perny, Paolo Viappiani |
| 2021 | Rankings for Bipartite Tournaments via Chain Editing. Joseph Singleton, Richard Booth |
| 2021 | Rational Synthesis in the Commons with Careless and Careful Agents. Rodica Condurache, Catalin Dima, Youssouf Oualhadj, Nicolas Troquard |
| 2021 | Reason Explanation for Encouraging Behaviour Change Intention. Amal Abdulrahman, Deborah Richards, Ayse Aysin Bilgin |
| 2021 | Regular Model Checking Approach to Knowledge Reasoning over Parameterized Systems. Daniel Stan, Anthony W. Lin |
| 2021 | Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty. Aravind Venugopal, Elizabeth Bondi, Harshavardhan Kamarthi, Keval Dholakia, Balaraman Ravindran, Milind Tambe |
| 2021 | Reliability-Aware Multi-UAV Coverage Path Planning using a Genetic Algorithm. Mickey Li, Arthur Richards, Mahesh Sooriyabandara |
| 2021 | Responsibility Research for Trustworthy Autonomous Systems. Vahid Yazdanpanah, Enrico H. Gerding, Sebastian Stein, Mehdi Dastani, Catholijn M. Jonker, Timothy J. Norman |
| 2021 | Reward Machines for Cooperative Multi-Agent Reinforcement Learning. Cyrus Neary, Zhe Xu, Bo Wu, Ufuk Topcu |
| 2021 | Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning as a Framework for Emergent Behavior. Hossein Haeri |
| 2021 | Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits. Aditya Mate, Andrew Perrault, Milind Tambe |
| 2021 | Robustness Based on Accountability in Multiagent Organizations. Matteo Baldoni, Cristina Baroglio, Roberto Micalizio, Stefano Tedeschi |
| 2021 | SEERL: Sample Efficient Ensemble Reinforcement Learning. Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul |
| 2021 | SIBRE: Self Improvement Based REwards for Adaptive Feedback in Reinforcement Learning. Somjit Nath, Richa Verma, Abhik Ray, Harshad Khadilkar |
| 2021 | SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning. Vasanth Sarathy, Daniel Kasenberg, Shivam Goel, Jivko Sinapov, Matthias Scheutz |
| 2021 | STRATA: Unified Framework for Task Assignments in Large Teams of Heterogeneous Agents. Harish Ravichandar, Kenneth Shaw, Sonia Chernova |
| 2021 | STV+Reductions: Towards Practical Verification of Strategic Ability Using Model Reductions. Damian Kurpiewski, Witold Pazderski, Wojciech Jamroga, Yan Kim |
| 2021 | Safe Multi-Agent Reinforcement Learning via Shielding. Ingy Elsayed-Aly, Suda Bharadwaj, Christopher Amato, Rüdiger Ehlers, Ufuk Topcu, Lu Feng |
| 2021 | Safe Pareto Improvements for Delegated Game Playing. Caspar Oesterheld, Vincent Conitzer |
| 2021 | Scalable Anytime Planning for Multi-Agent MDPs. Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer |
| 2021 | Scalable Multiagent Driving Policies for Reducing Traffic Congestion. Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, Peter Stone |
| 2021 | Scalable Multiple Robot Task Planning with Plan Merging and Conflict Resolution. Gilberto Marcon dos Santos, Julie A. Adams |
| 2021 | Scalable Optimization for Wind Farm Control using Coordination Graphs. Timothy Verstraeten, Pieter-Jan Daems, Eugenio Bargiacchi, Diederik M. Roijers, Pieter J. K. Libin, Jan Helsen |
| 2021 | Self-Attention Meta-Learner for Continual Learning. Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy |
| 2021 | Self-Imitation Advantage Learning. Johan Ferret, Olivier Pietquin, Matthieu Geist |
| 2021 | Sequential Mechanisms for Multi-type Resource Allocation. Sujoy Sikdar, Xiaoxi Guo, Haibin Wang, Lirong Xia, Yongzhi Cao |
| 2021 | Sequential Ski Rental Problem. Anant Shah, Arun Rajkumar |
| 2021 | Sequential and Swap Mechanisms for Public Housing Allocation with Quotas and Neighbourhood-Based Utilities. Nathanaël Gross-Humbert, Nawal Benabbou, Aurélie Beynier, Nicolas Maudet |
| 2021 | Shielding Atari Games with Bounded Prescience. Mirco Giacobbe, Mohammadhosein Hasanbeig, Daniel Kroening, Hjalmar Wijk |
| 2021 | Ship-GAN: Generative Modeling Based Maritime Traffic Simulator. Chaithanya Basrur, Arambam James Singh, Arunesh Sinha, Akshat Kumar |
| 2021 | Show Me the Way: Intrinsic Motivation from Demonstrations. Léonard Hussenot, Robert Dadashi, Matthieu Geist, Olivier Pietquin |
| 2021 | Simulating Realistic Pedestrian Behaviors in the Context of Autonomous Vehicles in Shared Spaces. Manon Prédhumeau |
| 2021 | Simultaneous Learning of Moving and Active Perceptual Policies for Autonomous Robot. Wataru Hatanaka, Fumihiro Sasaki, Ryota Yamashina, Atsuo Kawaguchi |
| 2021 | Siting and Sizing of Charging Infrastructure for Shared Autonomous Electric Fleets. Ramin Ahadi, Wolfgang Ketter, John Collins, Nicolò Daina |
| 2021 | Social Network Interventions to Prevent Reciprocity-driven Polarization. Fernando P. Santos, Francisco C. Santos, Jorge M. Pacheco, Simon A. Levin |
| 2021 | Software Engineering Methods for Responsible Artificial Intelligence. Zahoor Ul Islam |
| 2021 | Solid Semantics and Extension Aggregation Using Quota Rules under Integrity Constraints. Xiaolong Liu, Weiwei Chen |
| 2021 | Solver Agent: Towards Emotional and Opponent-Aware Agent for Human-Robot Negotiation. Mehmet Onur Keskin, Umut Çakan, Reyhan Aydogan |
| 2021 | Solving 3D Bin Packing Problem via Multimodal Deep Reinforcement Learning. Yuan Jiang, Zhiguang Cao, Jie Zhang |
| 2021 | Sound Algorithms in Imperfect Information Games. Michal Sustr, Martin Schmid, Matej Moravcík, Neil Burch, Marc Lanctot, Michael Bowling |
| 2021 | Sparse Training Theory for Scalable and Efficient Agents. Decebal Constantin Mocanu, Elena Mocanu, Tiago Pinto, Selima Curci, Phuong H. Nguyen, Madeleine Gibescu, Damien Ernst, Zita A. Vale |
| 2021 | Spatial Consensus-Prevention in Robotic Swarms. Saar Cohen, Noa Agmon |
| 2021 | State-Aware Variational Thompson Sampling for Deep Q-Networks. Siddharth Aravindan, Wee Sun Lee |
| 2021 | Strategic Abilities of Asynchronous Agents: Semantic Side Effects. Wojciech Jamroga, Wojciech Penczek, Teofil Sidoruk |
| 2021 | Strategic Evasion of Centrality Measures. Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Talal Rahwan, Tomasz P. Michalak |
| 2021 | Strategy RV: A Tool to Approximate ATL Model Checking under Imperfect Information and Perfect Recall. Angelo Ferrando, Vadim Malvone |
| 2021 | Strategyproof Facility Location Mechanisms on Discrete Trees. Alina Filimonov, Reshef Meir |
| 2021 | Stratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning. Brett Daley, Cameron Hickert, Christopher Amato |
| 2021 | Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning. Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha |
| 2021 | Summarising a Framework for the Certification of Reliable Autonomous Systems. Michael Fisher, Viviana Mascardi, Kristin Y. Rozier, Bernd-Holger Schlingloff, Michael Winikoff, Neil Yorke-Smith |
| 2021 | Symbolic Reinforcement Learning for Safe RAN Control. Alexandros Nikou, Anusha Mujumdar, Marin Orlic, Aneta Vulgarakis Feljan |
| 2021 | TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning? Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau |
| 2021 | TORS: A Train Unit Shunting and Servicing Simulator. Jacobus G. M. van der Linden, Jesse Mulderij, Bob Huisman, Joris W. den Ouden, Marjan van den Akker, Han Hoogeveen, Mathijs Michiel de Weerdt |
| 2021 | Teaching Unknown Learners to Classify via Feature Importance. Carla Guerra, Francisco S. Melo, Manuel Lopes |
| 2021 | Teaching a Robot with Unlabeled Instructions: The TICS Architecture. Anis Najar, Olivier Sigaud, Mohamed Chetouani |
| 2021 | Temporal Watermarks for Deep Reinforcement Learning Models. Kangjie Chen, Shangwei Guo, Tianwei Zhang, Shuxin Li, Yang Liu |
| 2021 | The Price is (Probably) Right: Learning Market Equilibria from Samples. Omer Lev, Neel Patel, Vignesh Viswanathan, Yair Zick |
| 2021 | The Sabre Narrative Planner: Multi-Agent Coordination with Intentions and Beliefs. Stephen G. Ware, Cory Siler |
| 2021 | The Seeing-Eye Robot Grand Challenge: Rethinking Automated Care. Reuth Mirsky, Peter Stone |
| 2021 | The Tight Bound for Pure Price of Anarchy in an Extended Miner's Dilemma Game. Qian Wang, Yurong Chen |
| 2021 | Timely Information from Prediction Markets. Grant Schoenebeck, Chenkai Yu, Fang-Yi Yu |
| 2021 | To hold or not to hold? - Reducing Passenger Missed Connections in Airlines using Reinforcement Learning. Tejasvi Malladi, Karpagam Murugappan, Depak Sudarsanam, Ramasubramanian Suriyanarayanan, Arunchandar Vasan |
| 2021 | Toward Consistent Agreement Approximation in Abstract Argumentation and Beyond. Timotheus Kampik, Juan Carlos Nieves |
| 2021 | Toward a Self-Learning Governance Loop for Competitive Multi-Attribute MAS. Michael Pernpeintner |
| 2021 | Towards Decentralized Social Reinforcement Learning via Ego-Network Extrapolation. Mahak Goindani, Jennifer Neville |
| 2021 | Towards Sample Efficient Learners in Population based Referential Games through Action Advising. Shresth Verma |
| 2021 | Towards Transferrable Personalized Student Models in Educational Games. Samuel Spaulding, Jocelyn Shen, Hae Won Park, Cynthia Breazeal |
| 2021 | Towards a Competence-Based Approach to Allocate Teams to Tasks. Athina Georgara, Juan A. Rodríguez-Aguilar, Carles Sierra |
| 2021 | Tractable Mechanisms for Computing Near-Optimal Utility Functions. Rahul Chandan, Dario Paccagnan, Jason R. Marden |
| 2021 | Trader-Company Method: A Metaheuristics for Interpretable Stock Price Prediction. Katsuya Ito, Kentaro Minami, Kentaro Imajo, Kei Nakagawa |
| 2021 | Trajectory Diversity for Zero-Shot Coordination. Andrei Lupu, Hengyuan Hu, Jakob N. Foerster |
| 2021 | Transferable Environment Poisoning: Training-time Attack on Reinforcement Learning. Hang Xu, Rundong Wang, Lev Raizman, Zinovi Rabinovich |
| 2021 | Tunable Behaviours in Sequential Social Dilemmas using Multi-Objective Reinforcement Learning. David O'Callaghan, Patrick Mannion |
| 2021 | Understanding the Role of Inequality in Creating and Sustaining the Alcohol Harm Paradox using Agent-Based Modelling. Jennifer Boyd |
| 2021 | User and System Stories: An Agile Approach for Managing Requirements in AOSE. Sebastian Rodriguez, John Thangarajah, Michael Winikoff |
| 2021 | Value-Guided Synthesis of Parametric Normative Systems. Nieves Montes, Carles Sierra |
| 2021 | Walrasian Equilibria in Markets with Small Demands. Argyrios Deligkas, Themistoklis Melissourgos, Paul G. Spirakis |
| 2021 | We might walk together, but I run faster: Network Fairness and Scalability in Blockchains. Anurag Jain, Shoeb Siddiqui, Sujit Gujar |
| 2021 | Worst-case Bounds for Spending a Common Budget. Pierre Cardi, Laurent Gourvès, Julien Lesca |