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Distributed Artificial Intelligence : Third International Conference, DAI 2021, Shanghai, China, December 17-18, 2021, Proceedings - Christopher Amato

Distributed Artificial Intelligence

Third International Conference, DAI 2021, Shanghai, China, December 17-18, 2021, Proceedings

By: Christopher Amato (Editor), Jie Chen (Editor), Jerome Lang (Editor), Dengji Zhao (Editor)

Paperback | 12 January 2022

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The Power of Signaling and its Intrinsic Connection to the Price of Anarchy.- Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning.- SEIHAI: A Sample-effcient Hierarchical AI for the MineRL Competition.- GC: Multi-Agent Group Belief with Graph Clustering.- Incomplete Distributed Constraint Optimization Problems: Model, Algorithms, and Heuristics.- Securities Based Decision Markets.- MARL for Traffc Signal Control in Scenarios with Different Intersection Importance.- Safe Distributional Reinforcement Learning.- The Positive Effect of User Faults over Agent Perception in Collaborative Settings and its Use in Agent Design.- Behavioral Stable Marriage Problems.- FUN-Agent: a HUMAINE Competitor.- Signal Instructed Coordination in Cooperative Multi-Agent Reinforcement Learning.- A Description of the Jadescript Type System.- Combining M-MCTS and Deep Reinforcement Learning for General Game Playing.- A Two-Step Method for Dynamics of Abstract Argumentation.

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