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Reinforcement Learning Explained Rodrigue Rizk
Reinforcement Learning Explained
Rodrigue Rizk
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.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| To be released | April 1, 2027 |
| ISBN13 | 9781041252993 |
| Publishers | Taylor & Francis Ltd |
| Pages | 344 |
| Dimensions | 150 × 220 × 20 mm · 549 g (Weight (estimated)) |