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ORCID3rd DAI 2021: Shanghai, China
- Jie Chen, Jérôme Lang, Christopher Amato, Dengji Zhao:
Distributed Artificial Intelligence - Third International Conference, DAI 2021, Shanghai, China, December 17-18, 2021, Proceedings. Lecture Notes in Computer Science 13170, Springer 2022, ISBN 978-3-030-94661-6 - James Nachbar, Haifeng Xu:
The Power of Signaling and Its Intrinsic Connection to the Price of Anarchy. 1-20 - Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng:
Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning. 21-37 - Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu
, Jianye Hao, Dong Li, Pingzhong Tang:
SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition. 38-51 - Tianze Zhou, Fubiao Zhang, Pan Tang, Chenfei Wang:
BGC: Multi-agent Group Belief with Graph Clustering. 52-63 - Atena M. Tabakhi, William Yeoh, Roie Zivan:
Incomplete Distributed Constraint Optimization Problems: Model, Algorithms, and Heuristics. 64-78 - Wenlong Wang, Thomas Pfeiffer:
Securities Based Decision Markets. 79-92 - Liguang Luan, Yu Tian, Wanqing Fang, Chengwei Zhang, Wanli Xue, Rong Chen, Chen Sang:
MARL for Traffic Signal Control in Scenarios with Different Intersection Importance. 93-106 - Jianyi Zhang, Paul Weng:
Safe Distributional Reinforcement Learning. 107-128 - Reut Asraf, Chen Rozenshtein, David Sarne:
The Positive Effect of User Faults over Agent Perception in Collaborative Settings and Its Use in Agent Design. 129-149 - Andrea Martin, Kristen Brent Venable, Nicholas Mattei:
Behavioral Stable Marriage Problems. 150-170 - Robert Geraghty, James Hale, Sandip Sen:
FUN-Agent: A HUMAINE Competitor. 171-184 - Liheng Chen, Hongyi Guo, Yali Du, Fei Fang, Haifeng Zhang, Weinan Zhang, Yong Yu:
Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning. 185-205 - Giuseppe Petrosino, Eleonora Iotti, Stefania Monica, Federico Bergenti:
A Description of the Jadescript Type System. 206-220 - Sili Liang, Guifei Jiang, Yuzhi Zhang:
Combining M-MCTS and Deep Reinforcement Learning for General Game Playing. 221-234 - Xiaoxin Jing, Xudong Luo:
A Two-Step Method for Dynamics of Abstract Argumentation. 235-246
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