Accepted Papers

List of accepted Full Papers

Paper ID Authors Title
888 Naoyuki Kamiyama On Stable Matchings with Pairwise Preferences and Matroid Constraints
896 Haris Aziz, Anton Baychkov, Peter Biro Summer Internship Matching with Funding Constraints
924 Nathanaël Barrot, Nicolas Paget, Sylvaine Lemeilleur, Abdallah Saffidine Peer Reviewing in Participatory Guarantee Systems: Modelisation and Algorithmic Aspects
931 Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson Deep Residual Reinforcement Learning
932 Yuan Luo, Nicholas R. Jennings A Budget-Limited Mechanism for Category-Aware Crowdsourcing Systems
935 Pavel Naumov, Jia Tao Duty to Warn in Strategic Games
938 Matthew Inkawhich, Yiran Chen, Hai Li Snooping Attacks on Deep Reinforcement Learning
964 Samuel Christie, Amit Chopra, Munindar Singh Refinement for Multiagent Information Protocols
968 Cinjon Resnick, Abhinav Gupta, Jakob Foerster, Andrew Dai, Kyunghyun Cho Capacity, Bandwidth, and Compositionality in Emergent Language Learning
977 Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu Limitations of Greed: Influence Maximization in Undirected Networks Re-visited
984 Yaqing Lai, Wufan Wang, Yunjie Yang, Jihong Zhu, Minchi Kuang Hindsight Planner
992 Yehia Abd Alrahman, Giuseppe Perelli, Nir Piterman Reconfigurable Interaction for MAS Modelling
1009 Martin Bullinger Pareto-Optimality in Graph-Based Hedonic Games
1010 Greg d’Eon, Kate Larson Testing Axioms Against Human Reward Divisions in Cooperative Games
1011 Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf, Jenna Reinen, Irina Rish A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry
1012 Ryan Beal, Georgios Chalkiadakis, Timothy Norman, Gopal  Ramchurn Optimising Game Tactics for Football
1014 Iago Bonnici, Abdelkader Gouaïch, Fabien Michel Input Addition and Deletion in Reinforcement: Towards Learning with Structural Changes
1017 Rupert Freeman, Sujoy Sikdar, Rohit Vaish, Lirong Xia Equitable Allocations of Indivisible Chores
1019 Changxi Zhu, Yi Cai, Ho-fung Leung, Shuyue Hu Learning by Reusing Previous Advice in Teacher-Student Paradigm
1020 Ziyu Chen, Wenxin Zhang, Yanchen Deng, Dingding Chen, Qiang Li RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inference
1030 Christopher Leturc, Grégory Bonnet A Deliberate BIAT Logic for Modeling Manipulations
1055 Aristide Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandit: Algorithms and Regret Bounds
1060 Mithun Chakraborty, Ayumi Igarashi, Warut Suksompong, Yair Zick Weighted Envy-Freeness in Indivisible Item Allocation
1062 Yongjie Yang On the Complexity of Destructive Bribery in Approval-Based Multiwinner Voting
1065 Giuseppe De Giacomo, Yves Lesperance Goal Formation through Interaction in the Situation Calculus: A Formal Account Grounded in Behavioral Science
1074 Eric Mazumdar, Lillian Ratliff, Michael Jordan, Shankar Sastry Policy-Gradient Algorithms Have No Guarantees of Convergence in Linear Quadratic Games
1079 Sriram Ganapathi Subramanian, Matthew Taylor, Pascal Poupart, Nidhi Hegde Multi Type Mean Field Reinforcement Learning
1080 Julie Porteous, Joao Ferreira, Alan Lindsay, Marc Cavazza Extending Narrative Planning Domains with Linguistic Resources
1082 Andrei Lupu, Doina Precup Gifting in Multi-Agent Reinforcement Learning
1087 Xinping Xu, Minming Li, Lingjie Duan Strategyproof Mechanisms for Activity Scheduling
1088 Yanchao Sun, Furong Huang Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning
1092 Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh, Fei Fang Green Security Game with Community Engagement
1094 Mingde Zhao, Sitao Luan, Ian Porada, Xiao-Wen Chang, Doina Precup META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation
1099 Yihan Du, Siwei Wang, Longbo Huang Dueling Bandits: From Two-dueling to Multi-dueling
1108 James Ault, Josiah Hanna, Guni Sharon Learning an Interpretable Traffic Signal Control Policy
1109 Khoi Hoang, William Yeoh, Makoto Yokoo, Zinovi Rabinovich New Algorithms for Continuous Distributed Constraint Optimization Problems
1118 Ling Pan, Qingpeng Cai, Longbo Huang Multi-Path Policy Optimization
1124 Kentaro Yahiro, Makoto Yokoo Student-Project-Resource Matching-Allocation Problems: Two-Sided Matching Meets Resource Allocation
1127 Oskar Skibski, Takamasa Suzuki, Tomasz Grabowski, Tomasz Michalak, Makoto Yokoo Signed Graph Games: Coalitional Games with Friends, Enemies and Allies
1131 Tao Xiao, Zhengyang Liu, Wenhan Huang On the Complexity of Sequential Posted Pricing
1132 Tao Xiao, Sujoy Sikdar Size-Relaxed Committee Selection under the Chamberlin-Courant Rule
1133 Michael Dann, John Thangarajah, Yuan Yao, Brian Logan Intention Aware Multi Agent Intention Scheduling
1144 Kobi Gal, Ta Duy Nguyen, Quang Nhat Tran, Yair Zick Threshold Task Games: Theory, Platform and Experiments
1145 Xiaohui Bei, Shengxin Liu, Chung Keung Poon, Hongao Wang Candidate Selections with Proportional Fairness Constraints
1156 Palash Dey, Sourav Medya Manipulating Node Similarity Measures in Networks
1157 Kevin McKee, Edward Hughes, Joel Leibo, Ian Gemp, Brian McWilliams, Edgar Duéñez-Guzmán Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning
1175 Jiarui Gan, Edith Elkind, Sarit Kraus, Michael Wooldridge Mechanism Design for Defense Coordination in Security Games
1183 Xuming He, Haozhe Wang, Jiale Zhou Learning Context-aware Task Reasoning for Efficient Meta Reinforcement Learning
1189 Artem Polyvyanyy, Zihang Su, Nir Lipovetzky, Sebastian Sardina Goal Recognition Using Off-The-Shelf Process Mining Techniques
1201 Congcong Miao, Jilong Wang, Heng Yu, Weichen Zhang, Yinyao Qi Trajectory-User Linking with Attentive Recurrent Network
1203 David Hostallero, Daewoo Kim, Sangwoo Moon, Kyunghwan Son, Wan Ju Kang, Yung Yi Inducing Cooperation through Reward Reshaping based on Peer Evaluations in Deep Multi-Agent Reinforcement Learning
1206 Arthur Boixel, Ulle Endriss Automated Justification of Collective Decisions via Constraint Solving
1210 Gabriel Istrate, Cosmin Bonchis, Claudiu Gatina It’s not Whom You Know, it’s What You, or Your Friends, can Do: Coalitional Frameworks for Network Centralities
1216 Bo Li, Yingkai Li Fair Resource Sharing and Dorm Assignment
1219 Wei Tang, Chien-Ju Ho, Yang Liu Differentially Private Contextual Dynamic Pricing
1226 Sebastian Stein, Mateusz Ochal, Ioana-Adriana Moisoiu, Enrico Gerding, Raghu Ganti, Ting He, Tom La Porta Strategyproof Reinforcement Learning for Online Resource Allocation
1229 Michael Sullins, Katja Hofmann, Ian Kash Combining No-regret and Q-learning
1240 Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey, Krishna Gummadi Minimizing Margin of Victory for Fair Political and Educational Districting
1246 Han Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Alpan Raval, Milind Tambe Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty
1247 Silviu Pitis, Michael Zhang Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes
1250 Edward Hughes, Tom Anthony, Tom Eccles, Joel Leibo, David Balduzzi, Yoram Bachrach Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games
1256 Elise van der Pol, Thomas Kipf, Frans A. Oliehoek, Max Welling Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
1258 Akshat Tandon, Kamalakar Karlapalem Capturing Oracle Guided Hiders
1262 Henger Li, Wen Shen, Zizhan Zheng Spatial-Temporal Moving Target Defense: A Markov Stackelberg Game Model
1267 Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling
1268 Xiaodong Nian, Athirai A. Irissappane, Diederik Roijers DCRAC: Deep Conditioned Recurrent Actor-Critic for Multi-Objective Partially Observable Environments
1272 Felix Gervits, Dean Thurston, Ravenna Thielstrom, Terry Fong, Quinn Pham, Matthias Scheutz Toward Genuine Robot Teammates: Improving Human-Robot Team Performance Using Robot Shared Mental Models
1279 Felix Brandt, Martin Bullinger Finding and Recognizing Popular Coalition Structures
1282 Hongyao Ma, Reshef Meir, David C. Parkes, Elena Wu-Yan Penalty Bidding Mechanisms for Allocating Resources and Overcoming Present-Bias
1299 Dustin Morrill, Ryan D’Orazio, James Wright, Michael Bowling Solving Zero-Sum Imperfect Information Games Using Alternative Link Functions: An Analysis of $f$-Regression Counterfactual Regret Minimization
1305 Declan Oller, Tobias Glasmachers, Giuseppe Cuccu Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing
1307 Dhaval Parmar, Stefan Olafsson, Dina Utami, Prasanth Murali, Timothy Bickmore Navigating the Combinatorics of Virtual Agent Design Space to Maximize Persuasion
1309 Chris Nota, Philip Thomas Is the Policy Gradient a Gradient?
1310 Marc Neveling, Jörg Rothe The Complexity of Cloning Candidates in Multiwinner Elections
1311 Yaodong Yang, Rasul Tutunov, Phu Sakulwongtana, Haitham Ammar $\alpha^{\alpha}$-Rank: Practically Scaling $\alpha$-Rank through Stochastic Optimisation
1316 Soh Kumabe, Takanori Maehara Convexity of Hypergraph Matching Game
1317 Fan Yang, Bruno Lepri, Wen Dong Optimal Control in Partially Observable Complex Social Systems
1318 Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald Improved Algorithms for Learning the Equilibria of Simulation-Based Games
1319 Michael Akintunde, Elena Botoeva, Panagiotis Kouvaros, Alessio Lomuscio Formal Verification of Neural Agents in Non-deterministic Environments
1321 Weiran Shen, Pingzhong Tang, Xun Wang, Yadong Xu, Xiwang Yang Learning to Design Coupons in Online Advertising Market
1322 Pingzhong Tang, Xun Wang, Zihe Wang, Yadong Xu, Xiwang Yang Optimized Cost per Mille in Feeds Advertising
1333 Maayan Shvo, Toryn Q. Klassen, Shirin Sohrabi, Sheila A. McIlraith Epistemic Plan Recognition
1358 Frits de Nijs, Peter Stuckey Risk-Aware Conditional Replanning for Globally Constrained Multi-Agent Sequential Decision Making
1359 Yasushi Kawase, Atsushi Iwasaki Approximately Stable Matchings with General Constraints
1361 Jiaoyang Li, Kexuan Sun, Hang Ma, Ariel Felner, T. K. Satish Kumar, Sven Koenig Moving Agents in Formation in Congested Environments
1370 Lillian Rigoli, Patrick Nalepka, Hannah Douglas, Rachel Kallen, Simon Hosking, Christopher Best, Elliot Saltzman, Michael Richardson Employing Models of Human Social Motor Behavior for Artificial Agent Trainers
1383 Jiali Weng, Fuyuan Xiao, Zehong Cao Uncertainty Modelling in Multi-agent Information Fusion Systems
1387 Golden Rockefeller, Shauharda Khadka, Kagan Tumer Fitness Critics for Cooperative Coevolutionary Algorithms
1389 Alessio Lomuscio, Edoardo Pirovano Parameterised Verification of Strategic Properties in Probabilistic Multi-Agent Systems
1390 Edith Elkind, Piotr Faliszewski, Sushmita Gupta, Sanjukta Roy Algorithms for Evaluating Candidate Success in Structured Elections
1392 Saaduddin Mahmud, Moumita Choudhury, Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings AED: An Anytime Evolutionary DCOP Algorithm
1395 Wen Zhang, Dengji Zhao, Hanyu Chen Redistribution Mechanism on Networks
1401 Daniel Hennes, Dustin Morrill, Shayegan Omidshafiei, Remi Munos, Julien Perolat, Marc Lanctot, Audrunas Gruslys, Jean-Baptiste Lespiau, Paavo Parmas, Edgar Duéñez-Guzmán, Karl Tuyls Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients
1403 Charlie Street, Bruno Lacerda, Manuel Mühlig, Nick Hawes Multi-Robot Planning Under Uncertainty with Congestion-Aware Models
1407 Jan Wöhlke, Felix Schmitt, Herke van Hoof A Performance-Based Start State Curriculum Framework for Reinforcement Learning
1412 Alessandro Nuara, Francesco Trovò, Dominic Crippa, Nicola Gatti, Marcello Restelli Driving Exploration by Maximum Distribution in Gaussian Process Bandits
1414 Justin Kruger, Zoi Terzopoulou Strategic Manipulation with Incomplete Preferences: Possibilities and Impossibilities for Positional Scoring Rules
1415 Hian Lee Kwa, Jabez Leong Kit, Roland Bouffanais Optimal Swarm Strategy for Dynamic Target Search and Tracking
1421 Ahana Ghosh, Sebastian Tschiatschek, Hamed Mahdavi, Adish Singla Towards Deployment of Robust Cooperative AI Agents: An Algorithmic Framework for Learning Adaptive Policies
1422 Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew Soon Ong Adaptive Knowledge Transfer based on Transfer Neural Kernel Network
1433 Arambam James Singh, Akshat Kumar, Hoong Chuin Lau Hierarchical Multiagent Reinforcement Learning for Maritime Traffic Management
1442 Sirin Botan, Ulle Endriss Majority-Strategyproofness in Judgment Aggregation
1454 David Klaška, Antonín Kučera, Vojtěch Řehák Adversarial Patrolling with Drones
1460 Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti Designing Near-Optimal Temporal Interventions to Contain Epidemics
1466 Léonard Hussenot, Matthieu Geist, Olivier Pietquin CopyCAT: Taking Control of Neural Policies with Constant Attacks
1477 Gianlorenzo D’Angelo, Mattia D’Emidio, Shantanu Das, Alfredo Navarra, Giuseppe Prencipe Leader Election and Compaction for Asynchronous Silent Programmable Matter
1478 Wen Zhang, Yao Zhang, Dengji Zhao Collaborative Data Acquisition
1484 Tomasz Wąs, Marcin Waniek, Talal Rahwan, Tomasz Michalak The Manipulability of Centrality Measures—An Axiomatic Approach
1488 Davide Azzalini, Alberto Castellini, Matteo Luperto, Alessandro Farinelli, Francesco Amigoni HMMs for Anomaly Detection in Autonomous Robots
1492 Yaniel Carreno, {\`E}ric Pairet, Yvan Petillot, Ron Petrick Task Allocation Strategy for Heterogeneous Robot Teams in Offshore Missions
1493 Florian Pescher, Nils Napp, Benoît Piranda, Julien Bourgeois GAPCoD : A Generic Assembly Planner by Constrained Disassembly
1495 Stephanie Rosenthal, Laura Hiatt Human-Centered Decision Support for Agenda Scheduling
1499 Thiago D. Simão, Romain Laroche, Rémi Tachet des Combes Safe Policy Improvement with an Estimated Baseline Policy
1500 Yael Sabato, Amos Azaria, Noam Hazon Viral vs. Effective: Utility Based Influence Maximization
1505 Riccardo Sartea, Georgios Chalkiadakis, Alessandro Farinelli, Matteo Murari Bayesian Active Malware Analysis
1526 Zihe Wang, Weiran Shen, Song Zuo Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions
1527 Alberto Marchesi, Francesco Trovò, Nicola Gatti Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces
1532 Grammateia Kotsialou, Luke Riley Incentivising Participation in Liquid Democracy with Breadth-First Delegation
1535 Safwan Hossain, Nisarg Shah Pure Nash Equilibria in Linear Regression
1536 Klaus Weber, Katharina Weitz, Kathrin Janowski, Niklas Rach, Wolfang Minker, Stefan Ultes, Elisabeth André Predicting Persuasive Effectiveness for Multimodal Behavior Adaptation using Bipolar Weighted Argument Graphs
1542 Greg Trafton, Laura Hiatt, Ben Brumback, Malcolm McCurry Using Cognitive Models to Train Big Data Models with Small Data
1552 Murat Cubuktepe, Zhe Xu, Ufuk Topcu Policy Synthesis for Factored MDPs with Graph Temporal Logic Specifications
1554 Mirko Salaris, Francesco Amigoni, Alessandro Riva Multirobot Coverage of Modular Environments
1556 Stanisław Szufa, Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Nimrod Talmon Identifying a Representative Set of Elections
1559 John Harwell, London Lowmanstone, Maria Gini Demystifying Emergent Intelligence And Its Effect On Performance In Large Robot Swarms
1564 Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening SPARL: Safe PAdding in Reinforcement Learning
1568 Alex Raymond, Hatice Gunes, Amanda Prorok Culture-Based Explainable Human-Agent Deconfliction
1578 Rui Silva, Miguel Vasco, Francisco Melo, Ana Paiva, Manuela Veloso Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning
1579 Line van den Berg, Jérôme Euzenat, Manuel Atencia Agent Ontology Alignment Repair through Dynamic Epistemic Logic
1589 Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans Oliehoek, Martha White Maximizing Information Gain via Prediction Rewards
1590 Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Lukasz Pelcner, Shaling Li, Alex Collins Real-time Learning and Planning in Environments with Swarms: A Hierarchical and a Parameter-based Simulation Approach
1596 Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas Waytowich Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments
1599 Yackolley Amoussou-Guenou, Bruno Biais, Maria Potop-Butucaru, Sara Tucci-Piergiovanni Rational vs Byzantine Players in Consensus-based Blockchains
1600 Yihan Zhang, Lyon Zhang, Hanlin Wang, Michael Rubenstein, Fabián Bustamante SwarmTalk — Towards Benchmark Software Suites for Swarm Robotics Platforms
1601 Andres Cristi, Tim Oosterwijk, Alkmini Sgouritsa, Antonios Antoniadis A General Framework for Energy-Efficient Cloud Computing Mechanisms
1602 Mirgita Frasheri, Jose Cano-Garcia, Eva Gonzalez-Parada, Baran Çürüklü, Mikael Ekström, Alessandro Vittorio Papadopoulos, Cristina Urdiales Adaptive Autonomy in Wireless Sensor Networks
1607 Baicen Xiao, Qifan Lu, Bhaskar Ramasubramanian, Andrew Clark, Linda Bushnell, Radha Poovendran FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback
1608 Xueguang Lu, Christopher Amato Likelihood Quantile Networks for Coordinating Multi-Agent Reinforcement Learning
1610 Kai Wang, Andrew Perrault, Aditya Mate, Milind Tambe Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games
1614 Marc Serramia, Maite Lopez-Sanchez, Juan Antonio Rodriguez-Aguilar A qualitative approach to composing value-aligned norm systems
1616 Thomy Phan, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner Schmid, Jan Wieghardt, Marc Zeller, Claudia Linnhoff-Popien Learning and Testing Resilience in Cooperative Multi-Agent Systems
1617 Jan Buermann, Enrico Gerding, Baharak Rastegari Fair Allocation of Resources with Uncertain Availability
1630 Goran Muric, Alexey Tregubov, Jim Blythe, Andres Abeliuk, Kristina Lerman, Divya Choudhary, Emilio Ferrara Massive Cross-Platform Simulations of Online Social Networks
1639 Navyata Sanghvi, Ryo Yonetani, Kris Kitani MGpi: A Computational Model of Multiagent Group Perception and Interaction
1646 Svetlana Obraztsova, Maria Polukarov, Edith Elkind, Marek Grzesiuk Multiwinner Candidacy Games
1647 Carmine Spagnuolo, Alessia Antelmi, Gennaro Cordasco, Vittorio Scarano A Design-Methodology for Epidemics Dynamics via Time-Varying Hypergraphs
1648 Dong Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan How Learning Hierarchical Teaching Policies for Cooperative Agents
1654 Dorothea Baumeister, Ann-Kathrin Selker, Anaëlle Wilczynski Manipulation of Opinion Polls to Influence Iterative Elections
1662 Anji Liu, Yitao Liang, Guy Van den Broeck Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration
1667 Shaull Almagor, Morteza Lahijanian Explainable Multi Agent Path Finding
1674 Grigory Neustroev, Mathijs de Weerdt Generalized Optimistic Q-Learning with Provable Efficiency
1678 Nirav Ajmeri, Pradeep Kumar Murukannaiah, Munindar Singh, Hui Guo Elessar: Ethics in Norm-Aware Agents
1679 Yaniv Oshrat, Noa Agmon, Sarit Kraus Non-Uniform Policies for Multi-Robot Asymmetric Perimeter Patrol in Adversarial Domains
1680 Matteo Bellusci, Nicola Basilico, Francesco Amigoni Multi-Agent Path Finding in Configurable Environments
1685 Lasse Peters, David Fridovich-Keil, Claire Tomlin, Zachary Sunberg Inference-Based Strategy Alignment for General-Sum Differential Games
1695 Nicholas Zerbel, Kagan Tumer The Power of Suggestion
1696 Sina Ghiassian, Banafsheh Rafiee, Yat Long Lo, Adam White Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks
1712 Hau Chan, Mohammad Irfan, Cuong Viet Schelling Models with Localized Social Influence: A Game-Theoretic Framework
1722 Gabriel Ramos, Roxana Radulescu, Ann Nowé, Anderson Tavares Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences
1736 Connor Basich, Joydeep Biswas, Shlomo Zilberstein, Justin Svegliato, Kyle Wray, Stefan Witwicki Learning to Optimize Autonomy in Competence-Aware Systems
1740 Geoffrey Pettet, Ayan Mukhopadhyay, Mykel Kochenderfer, Yevgeniy Vorobeychik, Abhishek Dubey On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities
1753 Nafisa Halim, Chris Kuhlman, Achla Marathe, Pallab Mozumder, Anil Vullikanti Increasing evacuation during disaster events
1754 Gaurav Dixit, Kagan Tumer Gaussian Processes as Multiagent Reward Models
1758 Yuushi Toyoda, Gale Lucas, Jonathan Gratch The effects of autonomy and task meaning in algorithmic management of crowdwork
1759 Han Zheng, Jing Jiang, Pengfei Wei, Guodong Long, Chengqi Zhang Competitive and Cooperative Heterogeneous Deep Reinforcement Learning
1760 Gilberto Antonio Marcon dos Santos, Julie A. Adams Optimal Temporal Plan Merging
1761 Jiachen Yang, Igor Borovikov, Hongyuan Zha Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
1762 Peter McGlaughlin, Jugal Garg Computing Competitive Equilibria with Mixed Manna
1766 Hedayat Zarkoob, Hu Fu, Kevin Leyton-Brown Report-Sensitive Spot-Checking in Peer-Grading Systems
1771 David Kempe, Sixie Yu, Yevgeniy Vorobeychik Inducing Equilibria in Networked Public Goods Games through Network Structure Modification
1774 Jinming Ma, Feng Wu Feudal Multi-Agent Deep Reinforcement Learning for Traffic Signal Control
1775 Swapna Thorve, Zhihao Hu, Kiran Lakkaraju, Anil Vullikanti, Achla Marathe, Samarth Swarup An Active Learning Method for the Comparison of Agent-based Models
1780 Divya Ramesh, Anthony Liu, Jean Song, Andres Echeverria, Nicholas Waytowich, Walter Lasecki Yesterday’s Reward is Today’s Punishment: Contrast Effects in Human Feedback to Reinforcement Learning Agents
1783 Stefan Olafsson, Byron Wallace, Timothy Bickmore Towards a Computational Framework for Automating Substance Use Counseling with Virtual Agents
1784 Aizhong Zhou, Jiong Guo Parameterized Complexity of Shift Bribery in Iterative Elections
1792 Behnam Torabi, Rym Zalila-Wenkstern, Robert Saylor, Patrick Ryan Deployment of a Multi-Agent Traffic Signal Timing System
1803 Aniket Murhekar, Ruta Mehta Approximate Nash Equilibria of Imitation Games: Algorithms and Complexity
1813 Abhimanyu Dubey, Alex Pentland Privacy and Byzantine-Tolerance in Cooperative Decision-Making
1815 Paul Pu Liang, Jeffrey Chen, Ruslan Salakhutdinov, Louis-Philippe Morency, Satwik Kottur On Emergent Communication in Competitive Multi-Agent Teams
1823 Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet Competitive Ratios for Online Multi-capacity Ridesharing
1826 Soumyajit Paul, Balaguru Srivathsan, Hugo Gimbert A Bridge between Polynomial Optimization and Games with Imperfect Recall
1870 Jingchang Sun, Pingzhong Tang, Yulong Zeng Games of Miners
1887 Merlinda Andoni, Valentin Robu, Wolf-Gerrit Fruh, David Flynn Strategic Decision-Making for Power Network Investments with Distributed Renewable Generation
1891 Manel Rodriguez-Soto, Maite Lopez-Sanchez, Juan Antonio Rodriguez-Aguilar A structural solution to sequential moral dilemmas
1894 Salvatore La Torre, Gennaro Parlato On the Model-Checking of Branching-time Temporal Logic with BDI Modalities
1904 Bram Renting, Catholijn Jonker, Holger Hoos Automated Configuration of Negotiation Strategies
Paper ID Authors Title
12 Oren Salzman , Roni Stern * Research Challenges and Opportunities in Multi-Agent Path Finding and Multi-Agent Pickup and Delivery Problems
16 Virginia Dignum, Frank Dignum Agents are Dead. Long live Agents!
21 Vahid Yazdanpanah * , Sara Mehryar , Nicholas R. Jennings , Swenja Surminski , Martin Siegert , Jos van Hillegersberg Multiagent Climate Change Research
22 Dorothea Baumeister * , Tobias Hogrebe , Jörg Rothe Towards Reality: Smoothed Analysis in Computational Social Choice
32 Candice Schumann , Jeffrey Foster , Nicholas Mattei , John Dickerson * We Need Fairness and Explainability in Algorithmic Hiring
33 Sara Bernardini * , Ferdian Jovan , Zhengyi Jiang , Peiman Moradi , Tom Richardson , Rasoul Sadeghian , Sina Sareh , Simon Watson , Andrew Weightman A Multi-Robot Platform for the Autonomous Operation and Maintenance of Offshore Wind Farms
34 Samarth Swarup * , Henning Mortveit Live Simulations
38 Pradeep Kumar Murukannaiah * , Nirav Ajmeri , Catholijn Jonker , Munindar Singh New Foundations of Ethical Multiagent Systems