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Reinforcement Learning, second edition: An Introduction (Adaptive Computation and Machine Learning series) - Hardcover
Synopsis
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.
Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew...
About the Author
Richard S. Sutton is 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.
Andrew G. Barto is Professor Emeritus in the College of Computer and Information Sciences at the University of Massachusetts Amherst.
"About this title" may belong to another edition of this title.
- PublisherBradford Books
- Publication date2018
- ISBN 10 0262039249
- ISBN 13 9780262039246
- BindingHardcover
- LanguageEnglish
- Edition number2
- Number of pages552
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Bradford Books (edition 2), 2018
ISBN 10: 0262039249
ISBN 13: 9780262039246
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