[PDF.57lk] Multi-Agent Machine Learning: A Reinforcement Approach
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Multi-Agent Machine Learning: A Reinforcement Approach
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Multi-Agent Machine Learning: A H. M. Schwartz epub Multi-Agent Machine Learning: A H. M. Schwartz pdf download Multi-Agent Machine Learning: A H. M. Schwartz pdf file Multi-Agent Machine Learning: A H. M. Schwartz audiobook Multi-Agent Machine Learning: A H. M. Schwartz book review Multi-Agent Machine Learning: A H. M. Schwartz summary
| #628894 in Books | 2014-08-11 | Original language:English | PDF # 1 | 9.40 x.70 x6.20l,.0 | File type: PDF | 256 pages||||“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 gadget.Multi-Agent Machine Learning: A Reinforcement Approach | H. M. Schwartz. I was recommended this book by a dear friend of mine.