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ORCID2nd DAI 2020: Nanjing, China
- Matthew E. Taylor, Yang Yu, Edith Elkind, Yang Gao:
Distributed Artificial Intelligence - Second International Conference, DAI 2020, Nanjing, China, October 24-27, 2020, Proceedings. Lecture Notes in Computer Science 12547, Springer 2020, ISBN 978-3-030-64095-8 - Sam Ganzfried, Conner Laughlin, Charles Morefield
:
Parallel Algorithm for Nash Equilibrium in Multiplayer Stochastic Games with Application to Naval Strategic Planning. 1-13 - Li Ning, Yong Zhang:
LAC-Nav: Collision-Free Multiagent Navigation Based on the Local Action Cells. 14-28 - Haotian Fu, Hongyao Tang, Jianye Hao, Wulong Liu, Chen Chen:
MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning. 29-39 - Yinzhao Dong, Chao Yu, Hongwei Ge:
D3PG: Decomposed Deep Deterministic Policy Gradient for Continuous Control. 40-54 - Qingrui Zhang, Hao Dong, Wei Pan:
Lyapunov-Based Reinforcement Learning for Decentralized Multi-agent Control. 55-68 - Roi Yehoshua, Christopher Amato:
Hybrid Independent Learning in Cooperative Markov Games. 69-84 - Ziniu Li, Xiong-Hui Chen:
Efficient Exploration by Novelty-Pursuit. 85-102 - Feifei Lin, Xu He, Bo An:
Context-Aware Multi-agent Coordination with Loose Couplings and Repeated Interaction. 103-125 - Yanchen Deng, Bo An, Zongmin Qiu, Liuxi Li, Yong Wang, Yinghui Xu:
Battery Management for Automated Warehouses via Deep Reinforcement Learning. 126-139
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