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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 Barto provide a clear and simple account of the...
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.
Title: Reinforcement Learning, Second Edition An ...
Publisher: MIT Press
Publication Date: 2018
Binding: Hardcover
Condition: Acceptable
Edition: 2nd Edition
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hardcover. Condition: Very Good. 2. Very Good Condition and Unread! Text is clean and unmarked! Light shelf wear to cover from storage. Has a small black line or red dot on bottom/exterior edge of pages. Seller Inventory # MIT-HC-VG-0262039249
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # DB-9780262039246
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