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
AI Summary
Ksh 17,250.00
Werezi Extended Catalogue
0 in stock
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Quality
Fast
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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