[PDF.17wu] Multi-Agent Machine Learning: A Reinforcement Approach

Multi-Agent Machine Learning: A Reinforcement Approach

[PDF.tr10] Multi-Agent Machine Learning: A Reinforcement Approach

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 | #1261389 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 can specify the type of files you want, for your device.Multi-Agent Machine Learning: A Reinforcement Approach   |  H. M. Schwartz. Which are the reasons I like to read books. Great story by a great author.

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