Adaptive Computation and Machine Learning Ser.: Reinforcement Learning,...

The "Reinforcement Learning, Second Edition: an Introduction" is a comprehensive textbook published by MIT Press in 2018. Authored by Richard S. Sutton and Andrew G. Barto, this book is part of the Adaptive Computation and Machine Learning Ser. It delves into the intricacies of reinforcement learning, focusing on both theoretical concepts and practical applications. With 552 pages, this hardcover book covers programming algorithms, neural networks, and artificial intelligence, making it a valuable resource for students and professionals alike. Written in English and originating from the United States, this textbook offers a thorough exploration of the field of reinforcement learning.