Distributed Artificial Intelligence: Second International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceedings [1st ed.] 9783030640958, 9783030640965

This book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intellig

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English Pages IX, 141 [149] Year 2020

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Distributed Artificial Intelligence: Second International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceedings [1st ed.]
 9783030640958, 9783030640965

Table of contents :
Front Matter ....Pages i-ix
Parallel Algorithm for Nash Equilibrium in Multiplayer Stochastic Games with Application to Naval Strategic Planning (Sam Ganzfried, Conner Laughlin, Charles Morefield)....Pages 1-13
LAC-Nav: Collision-Free Multiagent Navigation Based on the Local Action Cells (Li Ning, Yong Zhang)....Pages 14-28
MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning (Haotian Fu, Hongyao Tang, Jianye Hao, Wulong Liu, Chen Chen)....Pages 29-39
D3PG: Decomposed Deep Deterministic Policy Gradient for Continuous Control (Yinzhao Dong, Chao Yu, Hongwei Ge)....Pages 40-54
Lyapunov-Based Reinforcement Learning for Decentralized Multi-agent Control (Qingrui Zhang, Hao Dong, Wei Pan)....Pages 55-68
Hybrid Independent Learning in Cooperative Markov Games (Roi Yehoshua, Christopher Amato)....Pages 69-84
Efficient Exploration by Novelty-Pursuit (Ziniu Li, Xiong-Hui Chen)....Pages 85-102
Context-Aware Multi-agent Coordination with Loose Couplings and Repeated Interaction (Feifei Lin, Xu He, Bo An)....Pages 103-125
Battery Management for Automated Warehouses via Deep Reinforcement Learning (Yanchen Deng, Bo An, Zongmin Qiu, Liuxi Li, Yong Wang, Yinghui Xu)....Pages 126-139
Back Matter ....Pages 141-141

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