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 Title: Reinforcement Learning: An Introduction, Second Edition
 Author(s) Richard S. Sutton and Andrew G. Barto
 Publisher: MIT Press, Cambridge, MA, 2018; eBook (Creative Commons Licensed)
 License(s): CC BYNCND 2.0
 Hardcover: 522 pages
 eBook: HTML and PDF (548 pages)
 Language: English
 ISBN10: 0262039249
 ISBN13: 9780262039246
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Book Description
This book provides a clear and simple account of the field's key ideas and algorithms of Reinforcement Learning (RL).
Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. The treatment to be accessible to readers in all of the related disciplines.
This book is the bible of reinforcement learning, and the new edition is particularly timely given the burgeoning activity in the field. No one with an interest in the problem of learning to act  student, researcher, practitioner, or curious nonspecialist  should be without it.
About the Authors Richard S. Sutton is a Canadian computer scientist and a Professor of Computing Science and AITF Chair in Reinforcement Learning and Artificial Intelligence at the University of Alberta, and also Distinguished Research Scientist at DeepMind.
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 Reinforcement Learning: An Introduction, Second Edition (Richard S. Sutton, et al)
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