Multi-Agent Machine Learning: A Reinforcement Approach
Multi-Agent Machine Learning: A Reinforcement Approach
The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility traces.
PRP: 1024.65 Lei
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870.95Lei
870.95Lei
1024.65 LeiPrimesti 870 puncte
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Descrierea produsului
The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility traces.
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