Reinforcement Learning, second edition: An Introduction (Adaptive Computatio…

Reinforcement Learning, second edition: An Introduction (Adaptive Computatio…

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Reinforcement Learning, second edition: An Introduction (Adaptive Computation and Machine Learning series)

Are you interested in diving deeper into the world of reinforcement learning? Look no further than the second edition of “Reinforcement Learning: An Introduction” by Richard S. Sutton and Andrew G. Barto. This comprehensive guide is part of the Adaptive Computation and Machine Learning series and provides a thorough overview of the principles and algorithms behind reinforcement learning.

The book covers a wide range of topics, including the basics of reinforcement learning, dynamic programming, Monte Carlo methods, temporal-difference learning, and more. With updated content and new examples, this second edition is a must-have for anyone looking to expand their knowledge of this exciting field.

Whether you’re a student, researcher, or practitioner in the field of machine learning, this book is sure to become a valuable resource in your library. Pick up your copy today and start exploring the endless possibilities of reinforcement learning.
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