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. Written by renowned authors Richard S. Sutton and Andrew G. Barto, this book is part of the Adaptive Computation and Machine Learning Series. Covering topics such as programming, algorithms, neural networks, and artificial intelligence, this hardcover edition is written in English and spans 552 pages. With a focus on reinforcement learning, this textbook is a valuable resource for students and professionals looking to deepen their understanding of this cutting-edge field in computer science.
Specifications
| Country Of Origin | United States |
| ISBN | 9780262039246 |
| Subject Area | Computers |
| Publisher | MIT Press |
| Item Length | 11.2 in |
| Publication Year | 2018 |
| Type | Textbook |
| Format | Hardcover |
| Language | English |
| Item Height | 1.5 in |
| Item Weight | 41.6 Oz |
| Item Width | 7.3 in |
| Number Of Pages | 552 Pages |
The «Reinforcement Learning, Second Edition: An Introduction» is a comprehensive textbook published by MIT Press in 2018. Written by renowned authors Richard S. Sutton and Andrew G. Barto, this book is part of the Adaptive Computation and Machine Learning Series. Covering topics such as programming, algorithms, neural networks, and artificial intelligence, this hardcover edition is written in English and spans 552 pages. With a focus on reinforcement learning, this textbook is a valuable resource for students and professionals looking to deepen their understanding of this cutting-edge field in computer science.
