"Reinforcement Learning, Second Edition: An Introduction" is a comprehensive textbook published by MIT Press in 2018. Written by Richard S. Sutton and Andrew G. Barto, this book is part of the Adaptive Computation and Machine Learning Series, focusing on the subject areas of programming algorithms, neural networks, and artificial intelligence. With 552 pages, this hardcover publication covers the fundamentals of reinforcement learning in a clear and accessible manner, making it a valuable resource for students and professionals in the field of computer science and AI.
