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ORCID19th AAMAS 2020: Auckland, New Zealand
- Amal El Fallah Seghrouchni, Gita Sukthankar, Bo An, Neil Yorke-Smith:
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS '20, Auckland, New Zealand, May 9-13, 2020. International Foundation for Autonomous Agents and Multiagent Systems 2020, ISBN 978-1-4503-7518-4
Keynote Talks
- Carla P. Gomes:
AI for Advancing Scientific Discovery for a Sustainable Future. 1 - Thore Graepel:
Automatic Curricula in Deep Multi-Agent Reinforc ement Learning. 2 - Alison J. Heppenstall, Nick Malleson:
Building Cities from Slime Mould, Agents and Quantum Field Theory. 3-4 - Sergey Levine:
Unsupervised Reinforcement Learning. 5-6
Research Papers
- Yehia Abd Alrahman, Giuseppe Perelli, Nir Piterman:
Reconfigurable Interaction for MAS Modelling. 7-15 - Nirav Ajmeri, Hui Guo, Pradeep K. Murukannaiah, Munindar P. Singh:
Elessar: Ethics in Norm-Aware Agents. 16-24 - Michael E. Akintunde, Elena Botoeva, Panagiotis Kouvaros, Alessio Lomuscio:
Formal Verification of Neural Agents in Non-deterministic Environments. 25-33 - Shaull Almagor, Morteza Lahijanian:
Explainable Multi Agent Path Finding. 34-42 - Yackolley Amoussou-Guenou, Bruno Biais, Maria Potop-Butucaru, Sara Tucci Piergiovanni:
Rational vs Byzantine Players in Consensus-based Blockchains. 43-51 - Merlinda Andoni, Valentin Robu, Wolf-Gerrit Früh, David Flynn:
Strategic Decision-Making for Power Network Investments with Distributed Renewable Generation. 52-60 - Alessia Antelmi, Gennaro Cordasco, Carmine Spagnuolo, Vittorio Scarano:
A Design-Methodology for Epidemic Dynamics via Time-Varying Hypergraphs. 61-69 - Antonios Antoniadis, Andrés Cristi, Tim Oosterwijk, Alkmini Sgouritsa:
A General Framework for Energy-Efficient Cloud Computing Mechanisms. 70-78 - Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald:
Improved Algorithms for Learning Equilibria in Simulation-Based Games. 79-87 - James Ault, Josiah P. Hanna, Guni Sharon:
Learning an Interpretable Traffic Signal Control Policy. 88-96 - Haris Aziz
, Anton Baychkov, Péter Biró:
Summer Internship Matching with Funding Constraints. 97-104 - Davide Azzalini, Alberto Castellini, Matteo Luperto, Alessandro Farinelli, Francesco Amigoni:
HMMs for Anomaly Detection in Autonomous Robots. 105-113 - Nathanaël Barrot, Sylvaine Lemeilleur, Nicolas Paget, Abdallah Saffidine:
Peer Reviewing in Participatory Guarantee Systems: Modelisation and Algorithmic Aspects. 114-122 - Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein:
Learning to Optimize Autonomy in Competence-Aware Systems. 123-131 - Dorothea Baumeister, Ann-Kathrin Selker, Anaëlle Wilczynski:
Manipulation of Opinion Polls to Influence Iterative Elections. 132-140 - Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman, Sarvapali D. Ramchurn:
Optimising Game Tactics for Football. 141-149 - Xiaohui Bei, Shengxin Liu, Chung Keung Poon, Hongao Wang:
Candidate Selections with Proportional Fairness Constraints. 150-158 - Matteo Bellusci, Nicola Basilico, Francesco Amigoni:
Multi-Agent Path Finding in Configurable Environments. 159-167 - Arthur Boixel, Ulle Endriss:
Automated Justification of Collective Decisions via Constraint Solving. 168-176 - Iago Bonnici, Abdelkader Gouaïch, Fabien Michel:
Input Addition and Deletion in Reinforcement: Towards Learning with Structural Changes. 177-185 - Sirin Botan, Ulle Endriss:
Majority-Strategyproofness in Judgment Aggregation. 186-194 - Felix Brandt, Martin Bullinger:
Finding and Recognizing Popular Coalition Structures. 195-203 - Jan Bürmann, Enrico H. Gerding, Baharak Rastegari:
Fair Allocation of Resources with Uncertain Availability. 204-212 - Martin Bullinger:
Pareto-Optimality in Cardinal Hedonic Games. 213-221 - Yaniel Carreno, Èric Pairet, Yvan R. Pétillot, Ronald P. A. Petrick:
Task Allocation Strategy for Heterogeneous Robot Teams in Offshore Missions. 222-230 - Mithun Chakraborty, Ayumi Igarashi, Warut Suksompong, Yair Zick:
Weighted Envy-Freeness in Indivisible Item Allocation. 231-239 - Hau Chan, Mohammad T. Irfan, Cuong Viet Than:
Schelling Models with Localized Social Influence: A Game-Theoretic Framework. 240-248 - Ziyu Chen, Wenxin Zhang, Yanchen Deng, Dingding Chen, Qiang Li:
RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inference. 249-257 - Samuel H. Christie V., Amit K. Chopra, Munindar P. Singh:
Refinement for Multiagent Protocols. 258-266 - Murat Cubuktepe, Zhe Xu, Ufuk Topcu:
Policy Synthesis for Factored MDPs with Graph Temporal Logic Specifications. 267-275 - Gianlorenzo D'Angelo, Mattia D'Emidio, Shantanu Das, Alfredo Navarra, Giuseppe Prencipe:
Leader Election and Compaction for Asynchronous Silent Programmable Matter. 276-284 - Michael Dann, John Thangarajah, Yuan Yao, Brian Logan:
Intention-Aware Multiagent Scheduling. 285-293 - Giuseppe De Giacomo, Yves Lespérance:
Goal Formation through Interaction in the Situation Calculus: A Formal Account Grounded in Behavioral Science. 294-302 - Frits de Nijs, Peter J. Stuckey:
Risk-Aware Conditional Replanning for Globally Constrained Multi-Agent Sequential Decision Making. 303-311 - Greg d'Eon, Kate Larson:
Testing Axioms Against Human Reward Divisions in Cooperative Games. 312-320 - Palash Dey, Sourav Medya:
Manipulating Node Similarity Measures in Networks. 321-329 - Gaurav Dixit, Stéphane Airiau, Kagan Tumer:
Gaussian Processes as Multiagent Reward Models. 330-338 - Ryan D'Orazio, Dustin Morrill, James R. Wright, Michael Bowling:
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of ƒ-Regression Counterfactual Regret Minimization. 339-347 - Yihan Du, Siwei Wang, Longbo Huang:
Dueling Bandits: From Two-dueling to Multi-dueling. 348-356 - Abhimanyu Dubey, Alex Pentland:
Private and Byzantine-Proof Cooperative Decision-Making. 357-365 - Edith Elkind, Piotr Faliszewski, Sushmita Gupta, Sanjukta Roy:
Algorithms for Swap and Shift Bribery in Structured Elections. 366-374 - Mirgita Frasheri, José Manuel Cano-García, Eva González-Parada, Baran Çürüklü, Mikael Ekström, Alessandro Vittorio Papadopoulos, Cristina Urdiales:
Adaptive Autonomy in Wireless Sensor Networks. 375-383 - Rupert Freeman, Sujoy Sikdar, Rohit Vaish, Lirong Xia:
Equitable Allocations of Indivisible Chores. 384-392 - Kobi Gal, Ta Duy Nguyen, Quang Nhat Tran, Yair Zick:
Threshold Task Games: Theory, Platform and Experiments. 393-401 - Jiarui Gan, Edith Elkind, Sarit Kraus, Michael J. Wooldridge:
Mechanism Design for Defense Coordination in Security Games. 402-410 - Sriram Ganapathi Subramanian, Pascal Poupart, Matthew E. Taylor, Nidhi Hegde:
Multi Type Mean Field Reinforcement Learning. 411-419 - Jugal Garg, Peter McGlaughlin:
Computing Competitive Equilibria with Mixed Manna. 420-428 - 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. 429-437 - Sina Ghiassian, Banafsheh Rafiee, Yat Long Lo, Adam White:
Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks. 438-446 - Ahana Ghosh, Sebastian Tschiatschek, Hamed Mahdavi, Adish Singla:
Towards Deployment of Robust Cooperative AI Agents: An Algorithmic Framework for Learning Adaptive Policies. 447-455 - Hugo Gimbert, Soumyajit Paul, B. Srivathsan:
A Bridge between Polynomial Optimization and Games with Imperfect Recall. 456-464 - Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich:
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments. 465-473 - John Harwell, London Lowmanstone, Maria L. Gini:
Demystifying Emergent Intelligence and Its Effect on Performance In Large Robot Swarms. 474-482 - Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Cautious Reinforcement Learning with Logical Constraints. 483-491 - Daniel Hennes, Dustin Morrill, Shayegan Omidshafiei, Rémi Munos, Julien Pérolat, Marc Lanctot, Audrunas Gruslys, Jean-Baptiste Lespiau, Paavo Parmas, Edgar A. Duéñez-Guzmán, Karl Tuyls:
Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients. 492-501 - Khoi D. Hoang, William Yeoh, Makoto Yokoo, Zinovi Rabinovich:
New Algorithms for Continuous Distributed Constraint Optimization Problems. 502-510 - Safwan Hossain, Nisarg Shah:
The Effect of Strategic Noise in Linear Regression. 511-519 - David Earl 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. 520-528 - Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh, Fei Fang:
Green Security Game with Community Engagement. 529-537 - Edward Hughes, Thomas W. Anthony, Tom Eccles, Joel Z. Leibo, David Balduzzi, Yoram Bachrach:
Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games. 538-547 - Léonard Hussenot, Matthieu Geist, Olivier Pietquin:
CopyCAT: : Taking Control of Neural Policies with Constant Attacks. 548-556 - Matthew Inkawhich, Yiran Chen, Hai Helen Li:
Snooping Attacks on Deep Reinforcement Learning. 557-565 - 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. 566-574 - Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe:
Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling. 575-583 - Naoyuki Kamiyama:
On Stable Matchings with Pairwise Preferences and Matroid Constraints. 584-592 - Ian A. Kash, Michael Sullins, Katja Hofmann:
Combining No-regret and Q-learning. 593-601 - Yasushi Kawase, Atsushi Iwasaki:
Approximately Stable Matchings with General Constraints. 602-610 - David Kempe, Sixie Yu, Yevgeniy Vorobeychik:
Inducing Equilibria in Networked Public Goods Games through Network Structure Modification. 611-619 - Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How:
Learning Hierarchical Teaching Policies for Cooperative Agents. 620-628 - David Klaska, Antonín Kucera, Vojtech Rehák:
Adversarial Patrolling with Drones. 629-637 - Grammateia Kotsialou, Luke Riley:
Incentivising Participation in Liquid Democracy with Breadth-First Delegation. 638-644 - Justin Kruger, Zoi Terzopoulou:
Strategic Manipulation with Incomplete Preferences: Possibilities and Impossibilities for Positional Scoring Rules. 645-653 - Chris J. Kuhlman, Achla Marathe, Anil Vullikanti, Nafisa Halim, Pallab Mozumder:
Increasing Evacuation during Disaster Events. 654-662 - Soh Kumabe, Takanori Maehara:
Convexity of Hypergraph Matching Game. 663-671 - Hian Lee Kwa, Jabez Leong Kit, Roland Bouffanais:
Optimal Swarm Strategy for Dynamic Target Search and Tracking. 672-680 - Salvatore La Torre, Gennaro Parlato:
On the Model-Checking of Branching-time Temporal Logic with BDI Modalities. 681-689 - Yaqing Lai, Wufan Wang, Yunjie Yang, Jihong Zhu, Minchi Kuang:
Hindsight Planner. 690-698 - Christopher Leturc, Grégory Bonnet:
A Deliberate BIAT Logic for Modeling Manipulations. 699-707 - Bo Li, Yingkai Li:
Fair Resource Sharing and Dorm Assignment. 708-716 - Henger Li, Wen Shen, Zizhan Zheng:
Spatial-Temporal Moving Target Defense: A Markov Stackelberg Game Model. 717-725 - Jiaoyang Li, Kexuan Sun, Hang Ma, Ariel Felner, T. K. Satish Kumar, Sven Koenig:
Moving Agents in Formation in Congested Environments. 726-734 - Paul Pu Liang, Jeffrey Chen, Ruslan Salakhutdinov, Louis-Philippe Morency, Satwik Kottur:
On Emergent Communication in Competitive Multi-Agent Teams. 735-743 - Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish:
A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry. 744-752 - Anji Liu, Yitao Liang, Guy Van den Broeck:
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration. 753-761 - Alessio Lomuscio, Edoardo Pirovano:
Parameterised Verification of Strategic Properties in Probabilistic Multi-Agent Systems. 762-770 - Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Competitive Ratios for Online Multi-capacity Ridesharing. 771-779 - Yuan Luo, Nicholas R. Jennings:
A Budget-Limited Mechanism for Category-Aware Crowdsourcing Systems. 780-788 - Andrei Lupu, Doina Precup:
Gifting in Multi-Agent Reinforcement Learning. 789-797 - Xueguang Lyu, Christopher Amato:
Likelihood Quantile Networks for Coordinating Multi-Agent Reinforcement Learning. 798-806 - Hongyao Ma, Reshef Meir, David C. Parkes, Elena Wu-Yan:
Penalty Bidding Mechanisms for Allocating Resources and Overcoming Present-Bias. 807-815 - Jinming Ma, Feng Wu:
Feudal Multi-Agent Deep Reinforcement Learning for Traffic Signal Control. 816-824 - Saaduddin Mahmud, Moumita Choudhury, Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings:
AED: An Anytime Evolutionary DCOP Algorithm. 825-833 - Alberto Marchesi, Francesco Trovò, Nicola Gatti:
Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces. 834-842 - Gilberto Marcon dos Santos, Julie A. Adams:
Optimal Temporal Plan Merging. 851-859 - Eric Mazumdar, Lillian J. Ratliff, Michael I. Jordan, S. Shankar Sastry:
Policy-Gradient Algorithms Have No Guarantees of Convergence in Linear Quadratic Games. 860-868 - Kevin R. McKee, Ian Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo:
Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning. 869-877 - Congcong Miao, Jilong Wang, Heng Yu, Weichen Zhang, Yinyao Qi:
Trajectory-User Linking with Attentive Recurrent Network. 878-886 - Aniket Murhekar, Ruta Mehta:
Approximate Nash Equilibria of Imitation Games: Algorithms and Complexity. 887-894 - Goran Muric, Alexey Tregubov, Jim Blythe, Andrés Abeliuk, Divya Choudhary, Kristina Lerman, Emilio Ferrara:
Massive Cross-Platform Simulations of Online Social Networks. 895-903 - Pavel Naumov, Jia Tao:
Duty to Warn in Strategic Games. 904-912 - Grigory Neustroev, Mathijs Michiel de Weerdt:
Generalized Optimistic Q-Learning with Provable Efficiency. 913-921 - Marc Neveling, Jörg Rothe:
The Complexity of Cloning Candidates in Multiwinner Elections. 922-930 - Xiaodong Nian, Athirai Aravazhi Irissappane, Diederik M. Roijers:
DCRAC: Deep Conditioned Recurrent Actor-Critic for Multi-Objective Partially Observable Environments. 931-938 - Chris Nota, Philip S. Thomas:
Is the Policy Gradient a Gradient? 939-947 - Alessandro Nuara, Francesco Trovò, Dominic Crippa, Nicola Gatti, Marcello Restelli:
Driving Exploration by Maximum Distribution in Gaussian Process Bandits. 948-956 - Svetlana Obraztsova, Maria Polukarov, Edith Elkind, Marek Grzesiuk:
Multiwinner Candidacy Games. 957-965 - Stefan Olafsson, Byron C. Wallace, Timothy W. Bickmore:
Towards a Computational Framework for Automating Substance Use Counseling with Virtual Agents. 966-974 - Declan Oller, Tobias Glasmachers, Giuseppe Cuccu:
Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing. 975-982 - Yaniv Oshrat, Noa Agmon, Sarit Kraus:
Non-Uniform Policies for Multi-Robot Asymmetric Perimeter Patrol in Adversarial Domains. 983-991 - 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. 992-1000 - Ling Pan, Qingpeng Cai, Longbo Huang:
Multi-Path Policy Optimization. 1001-1009 - Dhaval Parmar, Stefán Ólafsson, Dina Utami, Prasanth Murali, Timothy W. Bickmore:
Navigating the Combinatorics of Virtual Agent Design Space to Maximize Persuasion. 1010-1018 - Lukasz Pelcner, Shaling Li, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Alex Collins:
Real-time Learning and Planning in Environments with Swarms: A Hierarchical and a Parameter-based Simulation Approach. 1019-1027 - Florian Pescher, Nils Napp, Benoît Piranda, Julien Bourgeois:
GAPCoD: A Generic Assembly Planner by Constrained Disassembly. 1028-1036 - Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg:
Inference-Based Strategy Alignment for General-Sum Differential Games. 1037-1045 - Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Yevgeniy Vorobeychik, Abhishek Dubey:
On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities. 1046-1054 - Thomy Phan, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt, Marc Zeller, Claudia Linnhoff-Popien:
Learning and Testing Resilience in Cooperative Multi-Agent Systems. 1055-1063 - Silviu Pitis, Michael R. Zhang:
Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes. 1064-1071 - Artem Polyvyanyy, Zihang Su, Nir Lipovetzky, Sebastian Sardiña:
Goal Recognition Using Off-The-Shelf Process Mining Techniques. 1072-1080 - Julie Porteous, João F. Ferreira, Alan Lindsay, Marc Cavazza:
Extending Narrative Planning Domains with Linguistic Resources. 1081-1089 - Divya Ramesh, Anthony Z. Liu, Andres J. Echeverria, Jean Y. Song, Nicholas R. Waytowich, Walter S. Lasecki:
Yesterday's Reward is Today's Punishment: Contrast Effects in Human Feedback to Reinforcement Learning Agents. 1090-1097 - Gabriel de Oliveira Ramos, Roxana Radulescu, Ann Nowé, Anderson R. Tavares:
Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences. 1098-1106 - Alex Raymond, Hatice Gunes, Amanda Prorok:
Culture-Based Explainable Human-Agent Deconfliction. 1107-1115 - Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker:
Automated Configuration of Negotiation Strategies. 1116-1124 - Cinjon Resnick, Abhinav Gupta, Jakob N. Foerster, Andrew M. Dai, Kyunghyun Cho:
Capacity, Bandwidth, and Compositionality in Emergent Language Learning. 1125-1133 - Lillian M. Rigoli, Patrick Nalepka, Hannah M. Douglas, Rachel W. Kallen, Simon G. Hosking, Christopher J. Best, Elliot Saltzman, Michael J. Richardson:
Employing Models of Human Social Motor Behavior for Artificial Agent Trainers. 1134-1142 - Golden Rockefeller, Shauharda Khadka, Kagan Tumer:
Multi-level Fitness Critics for Cooperative Coevolution. 1143-1151 - Manel Rodriguez-Soto, Maite López-Sánchez, Juan A. Rodríguez-Aguilar:
A Structural Solution to Sequential Moral Dilemmas. 1152-1160 - Stephanie Rosenthal, Laura M. Hiatt:
Human-Centered Decision Support for Agenda Scheduling. 1161-1168 - Yael Sabato, Amos Azaria, Noam Hazon:
Viral vs. Effective: Utility Based Influence Maximization. 1169-1177 - Mirko Salaris, Alessandro Riva, Francesco Amigoni:
Multirobot Coverage of Modular Environments. 1178-1186 - Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti:
Designing Effective and Practical Interventions to Contain Epidemics. 1187-1195 - Navyata Sanghvi, Ryo Yonetani, Kris Kitani:
MGpi: A Computational Model of Multiagent Group Perception and Interaction. 1196-1205 - Riccardo Sartea, Georgios Chalkiadakis, Alessandro Farinelli, Matteo Murari:
Bayesian Active Malware Analysis. 1206-1214 - Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans A. Oliehoek, Martha White:
Maximizing Information Gain in Partially Observable Environments via Prediction Rewards. 1215-1223 - Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu:
Limitations of Greed: Influence Maximization in Undirected Networks Re-visited. 1224-1232 - Marc Serramia, Maite López-Sánchez, Juan A. Rodríguez-Aguilar:
A Qualitative Approach to Composing Value-Aligned Norm Systems. 1233-1241 - Weiran Shen, Pingzhong Tang, Xun Wang, Yadong Xu, Xiwang Yang:
Learning to Design Coupons in Online Advertising Markets. 1242-1250 - Maayan Shvo, Toryn Q. Klassen, Shirin Sohrabi, Sheila A. McIlraith:
Epistemic Plan Recognition. 1251-1259 - Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso:
Playing Games in the Dark: An Approach for Cross-Modality Transfer in Reinforcement Learning. 1260-1268 - Thiago D. Simão, Romain Laroche, Rémi Tachet des Combes:
Safe Policy Improvement with an Estimated Baseline Policy. 1269-1277 - Arambam James Singh, Akshat Kumar, Hoong Chuin Lau:
Hierarchical Multiagent Reinforcement Learning for Maritime Traffic Management. 1278-1286 - Oskar Skibski, Takamasa Suzuki, Tomasz Grabowski, Tomasz P. Michalak, Makoto Yokoo:
Signed Graph Games: Coalitional Games with Friends, Enemies and Allies. 1287-1295 - Sebastian Stein, Mateusz Ochal, Ioana-Adriana Moisoiu, Enrico H. Gerding, Raghu K. Ganti, Ting He, Tom La Porta:
Strategyproof Reinforcement Learning for Online Resource Allocation. 1296-1304 - Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey, Krishna P. Gummadi:
Minimizing Margin of Victory for Fair Political and Educational Districting. 1305-1313 - Charlie Street, Bruno Lacerda, Manuel Mühlig, Nick Hawes:
Multi-Robot Planning Under Uncertainty with Congestion-Aware Models. 1314-1322 - Jingchang Sun, Pingzhong Tang, Yulong Zeng:
Games of Miners. 1323-1331 - Yanchao Sun, Furong Huang:
Can Agents Learn by Analogy?: An Inferable Model for PAC Reinforcement Learning. 1332-1340 - Stanislaw Szufa, Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Nimrod Talmon:
Drawing a Map of Elections in the Space of Statistical Cultures. 1341-1349 - Akshat Tandon, Kamalakar Karlapalem:
Capturing Oracle Guided Hiders. 1350-1358 - Pingzhong Tang, Xun Wang, Zihe Wang, Yadong Xu, Xiwang Yang:
Optimized Cost per Mille in Feeds Advertising. 1359-1367 - Wei Tang, Chien-Ju Ho, Yang Liu:
Differentially Private Contextual Dynamic Pricing. 1368-1376 - Swapna Thorve, Zhihao Hu, Kiran Lakkaraju, Joshua Letchford, Anil Vullikanti, Achla Marathe, Samarth Swarup:
An Active Learning Method for the Comparison of Agent-based Models. 1377-1385 - Behnam Torabi, Rym Zalila-Wenkstern, Robert Saylor, Patrick Ryan:
Deployment of a Plug-In Multi-Agent System for Traffic Signal Timing. 1386-1394 - Aristide C. Y. Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann:
A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandits: Algorithms and Regret Bounds. 1395-1403 - Yuushi Toyoda, Gale M. Lucas, Jonathan Gratch:
The Effects of Autonomy and Task meaning in Algorithmic Management of Crowdwork. 1404-1412 - J. Gregory Trafton, Laura M. Hiatt, Benjamin Brumback, J. Malcolm McCurry:
Using Cognitive Models to Train Big Data Models with Small Data. 1413-1421 - Line van den Berg, Manuel Atencia, Jérôme Euzenat:
Agent Ontology Alignment Repair through Dynamic Epistemic Logic. 1422-1430 - Elise van der Pol, Thomas Kipf, Frans A. Oliehoek, Max Welling:
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions. 1431-1439 - Haozhe Wang, Jiale Zhou, Xuming He:
Learning Context-aware Task Reasoning for Efficient Meta Reinforcement Learning. 1440-1448 - Kai Wang, Andrew Perrault, Aditya Mate, Milind Tambe:
Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games. 1449-1457 - Zihe Wang, Weiran Shen, Song Zuo:
Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions. 1458-1466 - Tomasz Was, Marcin Waniek, Talal Rahwan, Tomasz P. Michalak:
The Manipulability of Centrality Measures-An Axiomatic Approach. 1467-1475 - Klaus Weber, Kathrin Janowski, Niklas Rach, Katharina Weitz, Wolfgang Minker, Stefan Ultes, Elisabeth André:
Predicting Persuasive Effectiveness for Multimodal Behavior Adaptation using Bipolar Weighted Argument Graphs. 1476-1484 - Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew-Soon Ong:
Adaptive Knowledge Transfer based on Transfer Neural Kernel Network. 1485-1493 - Jiali Weng, Fuyuan Xiao, Zehong Cao:
Uncertainty Modelling in Multi-agent Information Fusion Systems. 1494-1502 - Jan Wöhlke, Felix Schmitt, Herke van Hoof:
A Performance-Based Start State Curriculum Framework for Reinforcement Learning. 1503-1511 - Baicen Xiao, Qifan Lu, Bhaskar Ramasubramanian, Andrew Clark, Linda Bushnell, Radha Poovendran:
FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback. 1512-1520 - Tao Xiao, Zhengyang Liu, Wenhan Huang:
On the Complexity of Sequential Posted Pricing. 1521-1529 - Tao Xiao, Sujoy Sikdar:
Size-Relaxed Committee Selection under the Chamberlin-Courant Rule. 1530-1538 - Xinping Xu, Minming Li, Lingjie Duan:
Strategyproof Mechanisms for Activity Scheduling. 1539-1547 - Kentaro Yahiro, Makoto Yokoo:
Game Theoretic Analysis for Two-Sided Matching with Resource Allocation. 1548-1556 - Fan Yang, Bruno Lepri, Wen Dong:
Optimal Control in Partially Observable Complex Social Systems. 1557-1565 - Jiachen Yang, Igor Borovikov, Hongyuan Zha:
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery. 1566-1574 - Yaodong Yang, Rasul Tutunov, Phu Sakulwongtana, Haitham Bou-Ammar:
αα-Rank: Practically Scaling α-Rank through Stochastic Optimisation. 1575-1583 - Yongjie Yang:
On the Complexity of Destructive Bribery in Approval-Based Multi-winner Voting. 1584-1592 - Hedayat Zarkoob, Hu Fu, Kevin Leyton-Brown:
Report-Sensitive Spot-Checking in Peer-Grading Systems. 1593-1601 - Nicholas Zerbel, Kagan Tumer:
The Power of Suggestion. 1602-1610 - Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson:
Deep Residual Reinforcement Learning. 1611-1619 - Wen Zhang, Dengji Zhao, Hanyu Chen:
Redistribution Mechanism on Networks. 1620-1628 - Wen Zhang, Yao Zhang, Dengji Zhao:
Collaborative Data Acquisition. 1629-1637 - Yihan Zhang, Lyon Zhang, Hanlin Wang, Fabián E. Bustamante, Michael Rubenstein:
SwarmTalk - Towards Benchmark Software Suites for Swarm Robotics Platforms. 1638-1646 - Mingde Zhao, Sitao Luan, Ian Porada, Xiao-Wen Chang, Doina Precup:
META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation. 1647-1655 - Han Zheng, Jing Jiang, Pengfei Wei, Guodong Long, Chengqi Zhang:
Competitive and Cooperative Heterogeneous Deep Reinforcement Learning. 1656-1664 - Aizhong Zhou, Jiong Guo:
Parameterized Complexity of Shift Bribery in Iterative Elections. 1665-1673 - Changxi Zhu, Yi Cai, Ho-fung Leung, Shuyue Hu:
Learning by Reusing Previous Advice in Teacher-Student Paradigm. 1674-1682
Blue Sky Idea Papers
- Dorothea Baumeister, Tobias Hogrebe, Jörg Rothe:
Towards Reality: Smoothed Analysis in Computational Social Choice. 1691-1695 - Sara Bernardini, Ferdian Jovan, Zhengyi Jiang, Simon Watson, Andrew Weightman, Peiman Moradi, Tom Richardson, Rasoul Sadeghian, Sina Sareh:
A Multi-Robot Platform for the Autonomous Operation and Maintenance of Offshore Wind Farms. 1696-1700 - Virginia Dignum, Frank Dignum:
Agents are Dead. Long live Agents! 1701-1705 - Pradeep K. Murukannaiah, Nirav Ajmeri, Catholijn M. Jonker, Munindar P. Singh:
New Foundations of Ethical Multiagent Systems. 1706-1710 - Oren Salzman, Roni Stern:
Research Challenges and Opportunities in Multi-Agent Path Finding and Multi-Agent Pickup and Delivery Problems. 1711-1715 - Candice Schumann, Jeffrey S. Foster, Nicholas Mattei, John P. Dickerson:
We Need Fairness and Explainability in Algorithmic Hiring. 1716-1720 - Samarth Swarup, Henning S. Mortveit:
Live Simulations. 1721-1725 - Vahid Yazdanpanah, Sara Mehryar, Nicholas R. Jennings, Swenja Surminski, Martin J. Siegert, Jos van Hillegersberg:
Multiagent Climate Change Research. 1726-1731
Extended Abstracts
- Kumar Abhishek, Shweta Jain, Sujit Gujar:
Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions. 1732-1734 - Abhijin Adiga, Sarit Kraus, S. S. Ravi:
Boolean Games: Inferring Agents' Goals Using Taxation Queries. 1735-1737 - Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, P. M. Krafft, Esteban Moro, Alex Pentland:
Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning. 1738-1740 - Akshat Agarwal, Sumit Kumar, Katia P. Sycara, Michael Lewis:
Learning Transferable Cooperative Behavior in Multi-Agent Teams. 1741-1743 - Mona Alshehri, Napoleon H. Reyes, Andre L. C. Barczak:
Evolving Meta-Level Reasoning with Reinforcement Learning and A* for Coordinated Multi-Agent Path-planning. 1744-1746 - Gilad Asharov, Tucker Hybinette Balch, Antigoni Polychroniadou, Manuela Veloso:
Privacy-Preserving Dark Pools. 1747-1749 - Carlos Azevedo, Bruno Lacerda, Nick Hawes, Pedro U. Lima:
Long-Run Multi-Robot Planning With Uncertain Task Durations. 1750-1752 - Haris Aziz, Edward Lee:
The Temporary Exchange Problem. 1753-1755 - Haris Aziz, Serge Gaspers, Zhaohong Sun:
Mechanism Design for School Choice with Soft Diversity Constraints. 1756-1758 - Haris Aziz, Serge Gaspers, Zhaohong Sun, Makoto Yokoo:
Multiple Levels of Importance in Matching with Distributional Constraints: Extended Abstract. 1759-1761 - Andrea Baisero, Christopher Amato:
Learning Complementary Representations of the Past using Auxiliary Tasks in Partially Observable Reinforcement Learning. 1762-1764 - Vaibhav Bajaj, Sachit Rao:
Autonomous Shape Formation and Morphing in a Dynamic Environment by a Swarm of Robots: Extended Abstract. 1765-1767 - Wolfram Barfuss:
Reinforcement Learning Dynamics in the Infinite Memory Limit. 1768-1770 - Dorothea Baumeister, Tobias Hogrebe:
Complexity of Election Evaluation and Probabilistic Robustness: Extended Abstract. 1771-1773 - Dorothea Baumeister, Linus Boes, Tessa Seeger:
Irresolute Approval-based Budgeting. 1774-1776 - Hans L. Bodlaender, Tesshu Hanaka, Lars Jaffke, Hirotaka Ono, Yota Otachi, Tom C. van der Zanden:
Hedonic Seat Arrangement Problems. 1777-1779 - Niclas Boehmer, Edith Elkind:
Stable Roommate Problem With Diversity Preferences. 1780-1782 - Rafael H. Bordini, Rem W. Collier, Jomi Fred Hübner, Alessandro Ricci:
Encapsulating Reactive Behaviour in Goal-Based Plans for Programming BDI Agents: Extended Abstract. 1783-1785 - Jose Cadena, Achla Marathe, Anil Vullikanti:
Finding Spatial Clusters Susceptible to Epidemic Outbreaks due to Undervaccination. 1786-1788 - Arthur Casals, Assia Belbachir, Amal El Fallah Seghrouchni:
Adaptive and Collaborative Agent-based Traffic Regulation using Behavior Trees. 1789-1791 - Jhelum Chakravorty, Patrick Nadeem Ward, Julien Roy, Maxime Chevalier-Boisvert, Sumana Basu, Andrei Lupu, Doina Precup:
Option-Critic in Cooperative Multi-agent Systems. 1792-1794 - Hau Chan, David C. Parkes, Karim R. Lakhani:
The Price of Anarchy of Self-Selection in Tullock Contests. 1795-1797 - Meghan Chandarana, Michael Lewis, Katia P. Sycara, Sebastian A. Scherer:
Human-in-the-loop Planning and Monitoring of Swarm Search and Service Missions. 1798-1800 - Gang Chen:
A New Framework for Multi-Agent Reinforcement Learning - Centralized Training and Exploration with Decentralized Execution via Policy Distillation. 1801-1803 - Weiwei Chen:
Aggregation of Support-Relations of Bipolar Argumentation Frameworks. 1804-1806 - Yang Chen, Jiamou Liu, He Zhao, Hongyi Su:
Social Structure Emergence: A Multi-agent Reinforcement Learning Framework for Relationship Building. 1807-1809 - Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis:
The Fair Contextual Multi-Armed Bandit. 1810-1812 - Yukun Cheng, Xiaotie Deng, Yuhao Li:
Limiting the Deviation Incentives in Resource Sharing Networks. 1813-1815 - Giovanni Ciatto, Davide Calvaresi, Michael Ignaz Schumacher, Andrea Omicini:
An Abstract Framework for Agent-Based Explanations in AI. 1816-1818 - Theodor Cimpeanu, The Anh Han:
Fear of Punishment Promotes the Emergence of Cooperation and Enhanced Social Welfare in Social Dilemmas. 1819-1821 - Cristina Cornelio, Michele Donini, Andrea Loreggia, Maria Silvia Pini, Francesca Rossi:
Voting with Random Classifiers (VORACE). 1822-1824 - Zeyuan Cui, Shijun Liu, Li Pan, Qiang He:
Translating Embedding with Local Connection for Knowledge Graph Completion. 1825-1827 - Matteo D'Auria, Eric O. Scott, Rajdeep Singh Lather, Javier Hilty, Sean Luke:
Distributed, Automated Calibration of Agent-based Model Parameters and Agent Behaviors. 1828-1830 - Guohui Ding, Joewie J. Koh, Kelly Merckaert, Bram Vanderborght, Marco M. Nicotra, Christoffer Heckman, Alessandro Roncone, Lijun Chen:
Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation. 1831-1833 - Yinzhao Dong, Chao Yu, Paul Weng, Ahmed Maustafa, Hui Cheng, Hongwei Ge:
Decomposed Deep Reinforcement Learning for Robotic Control. 1834-1836 - Nagat Drawel, Jamal Bentahar, Hongyang Qu:
Computationally Grounded Quantitative Trust with Time. 1837-1839 - Gábor Erdélyi, Yongjie Yang:
Microbribery in Group Identification. 1840-1842 - Alessandro Farinelli, Antonello Contini, Davide Zorzi:
Decentralized Task Assignment for Multi-item Pickup and Delivery in Logistic Scenarios. 1843-1845 - Michele Flammini, Bojana Kodric, Martin Olsen, Giovanna Varricchio:
Distance Hedonic Games. 1846-1848 - Ganesh Ghalme, Swapnil Dhamal, Shweta Jain, Sujit Gujar, Y. Narahari:
Ballooning Multi-Armed Bandits. 1849-1851 - Mahak Goindani, Jennifer Neville:
Cluster-Based Social Reinforcement Learning. 1852-1854 - Nate Gruver, Jiaming Song, Mykel J. Kochenderfer, Stefano Ermon:
Multi-agent Adversarial Inverse Reinforcement Learning with Latent Variables. 1855-1857 - Shubham Gupta, Rishi Hazra, Ambedkar Dukkipati:
Networked Multi-Agent Reinforcement Learning with Emergent Communication. 1858-1860 - Shubham Gupta, Ambedkar Dukkipati:
Winning an Election: On Emergent Strategic Communication in Multi-Agent Networks. 1861-1863 - MohammadTaghi Hajiaghayi, Marina Knittel:
Matching Affinity Clustering: Improved Hierarchical Clustering at Scale with Guarantees. 1864-1866 - Allen Huang, Geoff Nitschke:
Automating Coordinated Autonomous Vehicle Control. 1867-1868 - Yuzhong Huang, Andrés Abeliuk, Fred Morstatter, Pavel Atanasov, Aram Galstyan:
Anchor Attention for Hybrid Crowd Forecasts Aggregation. 1869-1871 - Hangtian Jia, Chunxu Ren, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan, Hongyao Tang, Jianye Hao:
Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach. 1872-1874 - Jinmingwu Jiang, Kaigui Wu:
Multi-agent Path Planning based on MA-RRT* Fixed Nodes. 1875-1877 - Fatema T. Johora, Hao Cheng, Jörg P. Müller, Monika Sester:
An Agent-Based Model for Trajectory Modelling in Shared Spaces: A Combination of Expert-Based and Deep Learning Approaches. 1878-1880 - Jan Karwowski, Jacek Mandziuk, Adam Zychowski:
Anchoring Theory in Sequential Stackelberg Games. 1881-1883 - Eliahu Khalastchi, Meir Kalech:
Efficient Hybrid Fault Detection for Autonomous Robots. 1884-1886 - Raphael Koster, Dylan Hadfield-Menell, Gillian K. Hadfield, Joel Z. Leibo:
Silly Rules Improve the Capacity of Agents to Learn Stable Enforcement and Compliance Behaviors. 1887-1888 - Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati:
Signaling Friends and Head-Faking Enemies Simultaneously: Balancing Goal Obfuscation and Goal Legibility. 1889-1891 - Pankaj Kumar:
Deep Reinforcement Learning for Market Making. 1892-1894 - Chaya Levinger, Noam Hazon, Amos Azaria:
Computing the Shapley Value for Ride-Sharing and Routing Games. 1895-1897 - Jiaoyang Li, Andrew Tinka, Scott Kiesel, Joseph W. Durham, T. K. Satish Kumar, Sven Koenig:
Lifelong Multi-Agent Path Finding in Large-Scale Warehouses. 1898-1900 - Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok:
Graph Neural Networks for Decentralized Path Planning. 1901-1903 - Bingyu Liu, Shangyu Xie, Yuan Hong:
PANDA: Privacy-Aware Double Auction for Divisible Resources without a Mediator. 1904-1906 - Xiang Liu, Weiwei Wu, Minming Li, Wanyuan Wang:
Two-sided Auctions with Budgets: Fairness, Incentives and Efficiency. 1907-1909 - Shih-Yun Lo, Elaine Schaertl Short, Andrea Lockerd Thomaz:
Robust Following with Hidden Information in Travel Partners. 1910-1912 - Marin Lujak, Alberto Fernández, Eva Onaindia:
A Decentralized Multi-Agent Coordination Method for Dynamic and Constrained Production Planning. 1913-1915 - Xiaobai Ma, Jayesh K. Gupta, Mykel J. Kochenderfer:
Normalizing Flow Model for Policy Representation in Continuous Action Multi-agent Systems. 1916-1918 - Enrico Marchesini, Alessandro Farinelli:
Genetic Deep Reinforcement Learning for Mapless Navigation. 1919-1921 - Sourav Medya, Tianyi Ma, Arlei Silva, Ambuj K. Singh:
A Game Theoretic Approach For k-Core Minimization. 1922-1924 - Erinc Merdivan, Sten Hanke, Matthieu Geist:
Modified Actor-Critics. 1925-1927 - Rupert Mitchell, Jenny Fletcher, Jacopo Panerati, Amanda Prorok:
Multi-Vehicle Mixed Reality Reinforcement Learning for Autonomous Multi-Lane Driving. 1928-1930 - Shuwa Miura, Shlomo Zilberstein:
Maximizing Plan Legibility in Stochastic Environments. 1931-1933 - Marina Moreira, Brian Coltin, Rodrigo Ventura:
Cooperative Real-Time Inertial Parameter Estimation. 1934-1936 - Francesca Mosca, Jose M. Such, Peter McBurney:
Towards a Value-driven Explainable Agent for Collective Privacy. 1937-1939 - Prasanth Murali, Ameneh Shamekhi, Dhaval Parmar, Timothy W. Bickmore:
Argumentation is More Important than Appearance for Designing Culturally Tailored Virtual Agents. 1940-1942 - Rohit Murali, Suravi Patnaik, Stephen Cranefield:
Mining International Political Norms from the GDELT Database. 1943-1945 - Sai Ganesh Nagarajan, David Balduzzi, Georgios Piliouras:
Robust Self-organization in Games: Symmetries, Conservation Laws and Dimensionality Reduction. 1946-1948 - Yusuke Nakata, Sachiyo Arai:
Mini-batch Bayesian Inverse Reinforcement Learning for Multiple Dynamics. 1949-1950 - Shivika Narang, Yadati Narahari:
A Study of Incentive Compatibility and Stability Issues in Fractional Matchings. 1951-1953 - Van Nguyen, Tran Cao Son, Vasileiou Loukas Stylianos, William Yeoh:
Conditional Updates of Answer Set Programming and Its Application in Explainable Planning. 1954-1956 - Eoin O'Neill, David Lillis, Gregory M. P. O'Hare, Rem W. Collier:
Explicit Modelling of Resources for Multi-Agent MicroServices using the CArtAgO Framework. 1957-1959 - Cristobal Pais:
Vulcano: Operational Fire Suppression Management Using Deep Reinforcement Learning. 1960-1962 - Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan:
Hierarchical Reinforcement Learning with Integrated Discovery of Salient Subgoals. 1963-1965 - Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai:
Sequential Advertising Agent with Interpretable User Hidden Intents. 1966-1968 - Olga Petrova, Karel Durkota, Galina Alperovich, Karel Horák, Michal Najman, Branislav Bosanský, Viliam Lisý:
Discovering Imperfectly Observable Adversarial Actions using Anomaly Detection. 1969-1971 - I. S. W. B. Prasetya, Mehdi Dastani:
Aplib: An Agent Programming Library for Testing Games. 1972-1974 - Amirarsalan Rajabi, Chathika Gunaratne, Alexander V. Mantzaris, Ivan Garibay:
Modeling Disinformation and the Effort to Counter It: A Cautionary Tale of When the Treatment Can Be Worse Than the Disease. 1975-1977 - Francesco Riccio, Roberto Capobianco, Daniele Nardi:
GUESs: Generative modeling of Unknown Environments and Spatial Abstraction for Robots. 1978-1980 - Guillermo Romero Moreno, Long Tran-Thanh, Markus Brede:
Continuous Influence Maximisation for the Voter Dynamics: Is Targeting High-Degree Nodes a Good Strategy? 1981-1983 - Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein:
Mitigating the Negative Side Effects of Reasoning with Imperfect Models: A Multi-Objective Approach. 1984-1986 - Anirban Santara, Rishabh Madan, Pabitra Mitra, Balaraman Ravindran:
ExTra: Transfer-guided Exploration. 1987-1989 - Amit Sarker, Abdullahil Baki Arif, Moumita Choudhury, Md. Mosaddek Khan:
C-CoCoA: A Continuous Cooperative Constraint Approximation Algorithm to Solve Functional DCOPs. 1990-1992 - Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, K. Brent Venable:
Heuristic Strategies in Uncertain Approval Voting Environments. 1993-1995 - Murat Sensoy, Maryam Saleki, Simon Julier, Reyhan Aydogan, John Reid:
Not all Mistakes are Equal. 1996-1998 - Elnaz Shafipour Yourdshahi, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Plamen Angelov:
On-line Estimators for Ad-hoc Task Allocation. 1999-2001 - Hitoshi Shimizu, Tatsushi Matsubayashi, Akinori Fujino, Hiroshi Sawada:
Theme Park Simulation based on Questionnaires for Maximizing Visitor Surplus. 2002-2004 - Itay Shtechman, Rica Gonen, Erel Segal-Halevi:
Fair Cake-Cutting Algorithms with Real Land-Value Data. 2005-2007 - Shoeb Siddiqui, Ganesh Vanahalli, Sujit Gujar:
BitcoinF: Achieving Fairness For Bitcoin In Transaction Fee Only Model. 2008-2010 - Joseph Singleton, Richard Booth:
An Axiomatic Approach to Truth Discovery. 2011-2013 - Thomas Spooner, Rahul Savani:
Robust Market Making via Adversarial Reinforcement Learning. 2014-2016 - Nanda Kishore Sreenivas, Shrisha Rao:
Analyzing the Effects of Memory Biases and Mood Disorders on Social Performance. 2017-2019 - Joseph Suarez, Yilun Du, Igor Mordatch, Phillip Isola:
Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks. 2020-2022 - Zoi Terzopoulou, Alexander Karpov, Svetlana Obraztsova:
Restricted Domains of Dichotomous Preferences with Possibly Incomplete Information. 2023-2025 - Alvaro Velasquez, Daniel Melcer:
Verification-Guided Tree Search. 2026-2028 - Timothy Verstraeten, Eugenio Bargiacchi, Pieter J. K. Libin, Diederik M. Roijers, Ann Nowé:
Thompson Sampling for Factored Multi-Agent Bandits. 2029-2031 - Rose E. Wang, Sarah A. Wu, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner:
Too Many Cooks: Coordinating Multi-agent Collaboration Through Inverse Planning. 2032-2034 - Shufan Wang, Jian Li:
Online Algorithms for Multi-shop Ski Rental with Machine Learned Predictions. 2035-2037 - Yu Wang, Yilin Shen, Hongxia Jin:
An Interpretable Multimodal Visual Question Answering System using Attention-based Weighted Contextual Features. 2038-2040 - Kaisheng Wu, Yong Qiao, Kaidong Chen, Fei Rong, Liangda Fang, Zhao-Rong Lai, Qian Dong, Liping Xiong:
Automatic Synthesis of Generalized Winning Strategy of Impartial Combinatorial Games. 2041-2043 - Yuanming Xiao, Atena M. Tabakhi, William Yeoh:
Embedding Preference Elicitation Within the Search for DCOP Solutions. 2044-2046 - Yuyu Xu, David C. Jeong, Pedro Sequeira, Jonathan Gratch, Javed Aslam, Stacy Marsella:
A Supervised Topic Model Approach to Learning Effective Styles within Human-Agent Negotiation. 2047-2049 - Hiroaki Yamada, Naoyuki Kamiyama:
An Information Distribution Method for Avoiding Hunting Phenomenon in Theme Parks. 2050-2052 - Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng:
Efficient Deep Reinforcement Learning through Policy Transfer. 2053-2055 - Vahid Yazdanpanah, Mehdi Dastani, Shaheen Fatima, Nicholas R. Jennings, Devrim Murat Yazan, W. Henk Zijm:
Task Coordination in Multiagent Systems. 2056-2058 - Harel Yedidsion, Shani Alkoby, Peter Stone:
The Sequential Online Chore Division Problem - Definition and Application. 2059-2061 - Nutchanon Yongsatianchot, Stacy Marsella:
A Computational Model of Hurricane Evacuation Decision. 2062-2064 - Chao Yu, Tianpei Yang, Wenxuan Zhu, Yinzhao Dong, Guangliang Li:
Interactive RL via Online Human Demonstrations. 2065-2067 - Guy Zaks, Gilad Katz:
CoMet: A Meta Learning-Based Approach for Cross-Dataset Labeling Using Co-Training. 2068-2070 - Zhiwei Zeng, Zhiqi Shen, Jing Jih Chin, Cyril Leung, Yu Wang, Ying Chi, Chunyan Miao:
Explainable and Contextual Preferences based Decision Making with Assumption-based Argumentation for Diagnostics and Prognostics of Alzheimer's Disease. 2071-2073 - Shuangfeng Zhang, Yuan Liu, Xingren Chen, Xin Zhou:
A POMDP-based Method for Analyzing Blockchain System Security Against Long Delay Attack: (Extended Abstract). 2074-2076 - Yi Zhang, Yu Qian, Yichen Yao, Haoyuan Hu, Yinghui Xu:
Learning to Cooperate: Application of Deep Reinforcement Learning for Online AGV Path Finding. 2077-2079 - Yijie Zhang, Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé:
Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games. 2080-2082 - Zhi Zhang, Jiachen Yang, Hongyuan Zha:
Integrating Independent and Centralized Multi-agent Reinforcement Learning for Traffic Signal Network Optimization. 2083-2085 - Dengji Zhao, Yiqing Huang, Liat Cohen, Tal Grinshpoun:
Coalitional Games with Stochastic Characteristic Functions Defined by Private Types. 2086-2088 - Adam Zychowski, Jacek Mandziuk:
A Generic Metaheuristic Approach to Sequential Security Games. 2089-2091
Demonstrations
- Cleber Jorge Amaral, Timotheus Kampik, Stephen Cranefield:
A Framework for Collaborative and Interactive Agent-oriented Developer Operations. 2092-2094 - Zehong Cao, Kaichiu Wong, Quan Bai, Chin-Teng Lin:
Hierarchical and Non-Hierarchical Multi-Agent Interactions Based on Unity Reinforcement Learning. 2095-2097 - João Carneiro, Rui Andrade, Patrícia Alves, Luís Conceição, Paulo Novais, Goreti Marreiros:
A Consensus-based Group Decision Support System using a Multi-Agent MicroServices Approach: Demonstration. 2098-2100 - Kristijonas Cyras, Amin Karamlou, Myles Lee, Dimitrios Letsios, Ruth Misener, Francesca Toni:
AI-assisted Schedule Explainer for Nurse Rostering. 2101-2103 - Daniel Gebbran, Gregor Verbic, Archie C. Chapman, Sleiman Mhanna:
Coordination of Prosumer Agents via Distributed Optimal Power Flow: An Edge Computing Hardware Prototype. 2104-2106 - David Minarsch, Marco Favorito, Ali Hosseini, Jonathan Ward:
Trading Agent Competition with Autonomous Economic Agents. 2107-2110 - Artur Niewiadomski, Magdalena Kacprzak, Damian Kurpiewski, Michal Knapik, Wojciech Penczek, Wojciech Jamroga:
MsATL: A Tool for SAT-Based ATL Satisfiability Checking. 2111-2113 - Tiago Pinto, Luis Gomes, Pedro Faria, Filipe Sousa, Zita A. Vale:
MARTINE: Multi-Agent based Real-Time INfrastructure for Energy. 2114-2116 - Hedieh Ranjbartabar, Deborah Richards, Ayse Aysin Bilgin, Cat Kutay, Samuel Mascarenhas:
User-Models to Drive an Adaptive Virtual Advisor: Demonstration. 2117-2119 - Behnam Torabi, Rym Zalila-Wenkstern:
DALI: An Agent-Plug-In System to "Smartify" Conventional Traffic Control Systems. 2120-2122 - Agnieszka M. Zbrzezny, Andrzej Zbrzezny, Sabina Szymoniak, Olga Siedlecka-Lamch, Miroslaw Kurkowski:
VerSecTis - An Agent based Model Checker for Security Protocols. 2123-2125
JAAMAS Track Papers
- Johan Arcile, Raymond Devillers, Hanna Klaudel:
VERIFCAR: A Framework for Modeling and Model checking Communicating Autonomous Vehicles. 2126-2127 - Haris Aziz:
Strategyproof Multi-Item Exchange Under Single-Minded Dichotomous Preferences. 2128-2130 - Cristina Cornelio, Maria Silvia Pini, Francesca Rossi, K. Brent Venable:
Sequential Voting in Multi-agent Soft Constraint Aggregation. 2131-2133 - Dave de Jonge, Dongmo Zhang:
Strategic Negotiations for Extensive-Form Games. 2134-2136 - John A. Doucette, Alan Tsang, Hadi Hosseini, Kate Larson, Robin Cohen:
Inferring True Voting Outcomes in Homophilic Social Networks. 2137-2139 - Rica Gonen, Ozi Egri:
COMBIMA: Truthful, Budget Maintaining, Dynamic Combinatorial Market. 2140-2142 - Noam Hazon, Mira Gonen:
Probabilistic Physical Search on General Graphs: Approximations and Heuristics. 2143-2145 - Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning. 2146-2148 - Jieting Luo, John-Jules Ch. Meyer, Max Knobbout:
A Formal Framework for Reasoning about Opportunistic Propensity in Multi-agent Systems. 2149-2151 - Andreasa Morris-Martin, Marina De Vos, Julian A. Padget:
Norm Emergence in Multiagent Systems: A Viewpoint Paper. 2152-2154 - Olabambo I. Oluwasuji, Obaid Malik, Jie Zhang, Sarvapali D. Ramchurn:
Solving the Fair Electric Load Shedding Problem in Developing Countries. 2155-2157 - Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé:
Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey. 2158-2160 - Avi Rosenfeld, Ariella Richardson:
Why, Who, What, When and How about Explainability in Human-Agent Systems. 2161-2164 - Felipe Leno da Silva, Garrett Warnell, Anna Helena Reali Costa, Peter Stone:
Agents Teaching Agents: A Survey on Inter-agent Transfer Learning. 2165-2167
Doctoral Consortium
- Carlos Azevedo:
Long-Run Multi-Robot Planning Under Uncertain Task Durations. 2168-2170 - Davide Azzalini:
Modeling and Comparing Robot Behaviors for Anomaly Detection. 2171-2173 - Connor Basich:
Competence-Aware Systems for Long-Term Autonomy. 2174-2175 - Arthur Boixel:
Computer-aided Reasoning about Collective Decision Making. 2176-2178 - Elizabeth Bondi:
Vision for Decisions: Utilizing Uncertain Real-Time Information and Signaling for Conservation. 2179-2181 - Jan Bürmann:
Efficiency and Fairness of Resource Utilisation under Uncertainty. 2182-2184 - Martin Bullinger:
Computing Desirable Partitions in Coalition Formation Games. 2185-2187 - Theodor Cimpeanu:
Cost Effective Interventions in Complex Networks Using Agent-Based Modelling and Simulations. 2188-2190 - John Harwell:
A Theoretical Framework for Self-Organized Task Allocation in Large Swarms. 2191-2192 - Johan Källström:
Adaptive Agent-Based Simulation for Individualized Training. 2193-2195 - Andreasa Morris-Martin:
Decentralised Runtime Norm Synthesis. 2196-2198 - Francesca Mosca:
Value-Aligned and Explainable Agents for Collective Decision Making: Privacy Application. 2199-2200 - Sindhu Padakandla:
Reinforcement Learning Algorithms for Autonomous Adaptive Agents. 2201-2203 - Michael Pernpeintner:
Achieving Emergent Governance in Competitive Multi-Agent Systems. 2204-2206 - Roxana Radulescu:
A Utility-Based Perspective on Multi-Objective Multi-Agent Decision Making. 2207-2208 - Jaelle Scheuerman:
Computational Methods for Simulating Biased Agents. 2209-2210 - Joseph Singleton:
Truth Discovery: Who to Trust and What to Believe. 2211-2213 - Ana-Andreea Stoica:
Algorithmic Fairness for Networked Algorithms. 2214-2216 - Charlie Street:
Towards Multi-Robot Coordination under Temporal Uncertainty. 2217-2218 - Zhaohong Sun:
New Challenges in Matching with Constraints. 2219-2221 - Zoi Terzopoulou:
Incomplete Opinions in Collective Decision Making. 2222-2224 - Miguel Vasco:
Multimodal Representation Learning for Robotic Cross-Modality Policy Transfer. 2225-2227 - Kai Wang:
Balance Between Scalability and Optimality in Network Security Games. 2228-2230 - Wenlong Wang:
Implementing Securities Based Decision Markets with Stochastic Decision Rules. 2231-2233 - Mengxiao Zhang:
Incentive Mechanisms for Data Privacy Preservation and Pricing. 2234-2236
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