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Multi-Agent Machine Learning
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Multi-Agent Machine Learning : A Reinforcement Approach

Book Details

Format Hardback or Cased Book
ISBN-10 111836208X
ISBN-13 9781118362082
Publisher John Wiley & Sons Inc
Imprint John Wiley & Sons Inc
Country of Manufacture US
Country of Publication GB
Publication Date Sep 26th, 2014
Print length 256 Pages
Weight 478 grams
Dimensions 16.30 x 23.80 x 1.80 cms
Product Classification: Machine learning
Ksh 17,250.00
Werezi Extended Catalogue 0 in stock

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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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