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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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