Multi-Agent Coordination
Discover the latest developments in multi-robot coordination techniques with this insightful and original resourceMulti-Agent Coordination: A Reinforcement Learning Approach delivers a comprehensive, insightful, and unique treatment of the development of multi-robot coordination… Celý popis ↓
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Multi-Agent Coordination
Discover the latest developments in multi-robot coordination techniques with this insightful and original resourceMulti-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 authors also propose novel approaches to consensus Q-learning that 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.You'll learn about how to accelerate the exploration of the team-goal and alternative approaches to speeding up the convergence of TMAQL by identifying the preferred joint action for the team.
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