"Reinforcement Learning, Second Edition: an Introduction" by Richard S. Sutton and Andrew G. Barto is a textbook published by MIT Press in 2018. It is part of the Adaptive Computation and Machine Learning Series and covers subjects such as programming, algorithms, neural networks, and artificial intelligence. The book is a comprehensive introduction to reinforcement learning, a subfield of machine learning that deals with training agents to make decisions based on reward feedback. With 552 pages, this hardcover textbook is a valuable resource for those interested in the field of reinforcement learning.

A nice touch in this textbook is the running glossary in the margins.

The product is the second edition of the book "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto. Published by MIT Press in 2018, this textbook is part of the Adaptive Computation and Machine Learning Ser. It covers the subject areas of programming, algorithms, neural networks, and artificial intelligence, with a focus on reinforcement learning. The book is hardcover format, 552 pages long, and written in English. It is a valuable resource for students and professionals interested in machine learning and artificial intelligence.