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Multi‐Agent Machine Learning: A Reinforcement Approach [分享]

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nivastuli 发表于 2019-9-18 06:08:20 |显示全部楼层
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. Chapter 3 discusses two player games including two player matrix games with both pure and mixed strategies.


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Wiley - Multi-Agent Machine Learning A Reinforcement Approach (2014).pdf

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Multi-Agent Machine Learning

ILLROCK 发表于 2019-9-24 21:33:02 来自手机 |显示全部楼层
nivastuli 发表于 2019-9-18 06:08
The book begins with a chapter on traditional methods of supervised learning, covering recursive lea ...
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