Multi-Agent Coordination A Reinforcement Learning Approach [#193695]

Multi-Agent Coordination: A Reinforcement Learning Approach
by Arup Kumar Sadhu
English | 2021 | ISBN: 1119699037 | 315 Pages | PDF | 12 MB
Multi-Agent Coordination: A Reinforcement Learning Approach delivers a comprehensive, insightful, and unique treatment of the development of multi-robot coordination algorithms with minimal computational burden and reduced storage requirements when compared to traditional algorithms. The accomplished academics, engineers, and authors provide readers with both a high-level introduction to, and overview of, multi-robot coordination, and in-depth analyses of learning-based planning algorithms.
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