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Reinforcement Learning Explained|Rodrigue Rizk

Reinforcement Learning Explained

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Overview

This book provides a rigorous yet accessible foundation in reinforcement learning, covering mathematical principles and practical methods. It introduces MDPs, value functions, Bellman equations, and classical solution methods including dynamic programming, Monte Carlo, and Q-learning, with Python implementations.

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Details

  • ISBN-13: 9781041252993
  • ISBN-10: 1041252994
  • Publisher: CRC Press
  • Publish Date: March 2027
  • Page Count: 344

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