Reinforcement Learning, second edition: An Introduction (Adaptive Computation an

Reinforcement Learning, second edition: An Introduction (Adaptive Computation an

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Reinforcement Learning, second edition: An Introduction is a comprehensive and up-to-date guide to the field of reinforcement learning. Written by Richard S. Sutton and Andrew G. Barto, two leading experts in the field, this book provides a thorough introduction to the core concepts and algorithms of reinforcement learning.

The book covers a wide range of topics, including Markov decision processes, dynamic programming, Monte Carlo methods, temporal difference learning, and more. It also includes new material on deep reinforcement learning, policy gradients, and other recent developments in the field.

Whether you are a student, researcher, or practitioner in the field of machine learning, this book is an essential resource for understanding and applying reinforcement learning techniques. With its clear explanations, practical examples, and insightful commentary, Reinforcement Learning, second edition is sure to become a classic in the field.
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