Multi Agent Machine Learning A Reinforcement Approach

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Multi Agent Machine Learning A Reinforcement Approach

Multi Agent Machine Learning A Reinforcement Approach

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Multi Agent Machine Learning A Reinforcement Approach

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Description

Multi Agent Machine Learning A Reinforcement Approach

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.
  • Brand: John Wiley & Sons Inc
  • Category: Computing & Internet
  • Format: Hardback
  • Language: English
  • Publication Date: 2023-03-22
  • Publisher / Label: John Wiley & Sons Inc
  • Author: H. M. Schwartz
  • Number of Pages: 256
  • Fruugo ID: 346771330-758047211
  • ISBN: 9781118362082

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  • STANDARD: CN¥59.49 - Delivery between Wed 15 April 2026–Tue 05 May 2026

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