[PDF.56jk] Multi-Agent Machine Learning: A Reinforcement Approach

Multi-Agent Machine Learning: A Reinforcement Approach

[PDF.vf36] Multi-Agent Machine Learning: A Reinforcement Approach

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 | #1425975 in Books |  2014-08-11 | Original language:English | PDF # 1 |  9.40 x.70 x6.20l,.0 | File type: PDF | 256 pages

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|| ||“This is an interesting book both as research reference as well as teaching material for Master and PhD students.”  (Zentralblatt MATH, 1 April 2015) |  |.|From the Back Cover|The book begins

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. Numerous algorithms and examples are...

You easily download any file type for your device.Multi-Agent Machine Learning: A Reinforcement Approach   |  H. M. Schwartz. A good, fresh read, highly recommended.

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