DAI 2021 - Accepted Papers

Best Paper Award

Atena M. Tabakhi, William Yeoh and Roie Zivan. Incomplete Distributed Constraint Optimization Problems: Model, Algorithms, and Heuristics.

Full Papers

James Nachbar and Haifeng Xu. The Power of Signaling and its Intrinsic Connection to the Price of Anarchy.
Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng and Zhaopeng Meng. Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning.
Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li and Pingzhong Tang. SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition.
Tianze Zhou, Fubiao Zhang, Pan Tang and Chenfei Wang. BGC: Multi-Agent Group Belief with Graph Clustering.
Atena M. Tabakhi, William Yeoh and Roie Zivan. Incomplete Distributed Constraint Optimization Problems: Model, Algorithms, and Heuristics.
Wenlong Wang and Thomas Pfeiffer. Securities Based Decision Markets.
Jianyi Zhang and Paul Weng. Safe Distributional Reinforcement Learning.
Andrea Martin, Kristen Brent Venable and Nicholas Mattei. Behavioral Stable Marriage Problems.
Liheng Chen, Hongyi Guo, Yali Du, Fei Fang, Haifeng Zhang, Weinan Zhang and Yong Yu. Signal Instructed Coordination in Cooperative Multi-Agent Reinforcement Learning.
Giuseppe Petrosino, Eleonora Iotti, Stefania Monica and Federico Bergenti. A Description of the Jadescript Type System.
Liguang Luan, Yu Tian, Wanqing Fang, Chengwei Zhang, Wanli Xue, Rong Chen and Chen Sang. MARL for Traffic Signal Control in Scenarios with Different Intersection Importance.
Reut Asraf, Chen Rozenshtein and David Sarne. The Positive Effect of User Faults over Agent Perception in Collaborative Settings and its Use in Agent Design.
Robert Geraghty, James Hale and Sandip Sen. FUN-Agent: a HUMAINE Competitor.
Sili Liang, Guifei Jiang and Yuzhi Zhang. Combining M-MCTS and Deep Reinforcement Learning for General Game Playing.
Xiaoxin Jing and Xudong Luo. A Two-Step Method for Dynamics of Abstract Argumentation.