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Multi-agent machine learning : A reinforcement approach

Multi-Agent Machine Learning: A Reinforcement Learning Approach is a framework to understanding different methods and approaches in multi-agent machine learning. It also provides cohesive coverage of the latest advances in multi-agent differential games and presents applications in game theory and robotics. Framework for understanding a variety of methods and approaches in multi-agent machine learning. Discusses

Từ khóa: Differential games, Machine learning, Reinforcement learning, Swarm intelligence

12 p ovanke 22/07/2020 441 3

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