Reinforcement Learning, second edition: An Introduction Hardcover FREESHIP
You will find that this textbook has a clean layout that is easy on the eyes.
You will find that this textbook has a clean layout that is easy on the eyes.
The product is a textbook titled "Reinforcement Learning, second edition: An Introduction HC" published by MIT Press in 2018. Authored by Richard S. Sutton and Andrew G. Barto, the textbook covers subjects such as programming, algorithms, neural networks, and artificial intelligence. This hardcover book, measuring 11.2 inches in length, 7.3 inches in width, and 1.5 inches in height, is a comprehensive resource for those interested in the field of reinforcement learning. Written in English, it weighs 41.6 ounces and is a valuable addition to any student or professional's library.
"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.
Please Note: All photos in our listings are stock photos unless stated differently. This item will ship internationally, please take note of the shipping time displayed by eBay. If you are located in the US or UK, international orders will be forwarded to our warehouse in your country before final delivery to you, and tracking will not start updating until your order has reached your country. Thank you for supporting my family business.
The product is the second edition of "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto, published by MIT Press in 2018. This textbook covers the subject areas of programming, algorithms, neural networks, and artificial intelligence, with a focus on reinforcement learning. The book is part of the Adaptive Computation and Machine Learning series and is written in English. It is a comprehensive resource for those interested in learning about reinforcement learning techniques and their applications in various fields.
What stands out about this textbook is the inclusion of historical context.
ISBN-13: 9780262039246. by Andrew G. Barto. Author: Andrew G. Barto. Topic: Machine learning. Format: Hardback. Why buy from BookCurl?. RRP: £95.00. ISBN-10: 0262039249.
This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Author: Richard S. Sutton, Andrew G. Barto. Like the first edition, this second edition focuses on core, online learning algorithms, with the more mathematical material set off in shaded boxes.
Author: Sutton, Richard S. Richard S. Sutton, Andrew G. Barto, Franci ISBN 10: 0262039249. Book Details. Will be clean, not soiled or stained. Publisher: MIT Press ISBN 13: 9780262039246.
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series) by Sutton, Richard S., Barto, Andrew G. [Hardcover]