Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications
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Andrew G. Barto is Professor of Computer Science at the University of Massachusetts.
Richard S. Sutton is Senior Research Scientist, Department of Computer Science, University of Massachusetts.
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Anbieter: Better World Books: West, Reno, NV, USA
Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Bestandsnummer des Verkäufers GRP61137464
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Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Bestandsnummer des Verkäufers GRP14609677
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Anbieter: HPB-Red, Dallas, TX, USA
Hardcover. Zustand: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority! Bestandsnummer des Verkäufers S_487069468
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Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Bestandsnummer des Verkäufers GOR005124400
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Anbieter: Book Gurus, Tallahassee, FL, USA
hardcover. Zustand: Fine. Bestandsnummer des Verkäufers 01KX3R98ZAXRS3Q
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Anbieter: Sekkes Consultants, North Dighton, MA, USA
Hardcover. Zustand: Near fine. Zustand des Schutzumschlags: Near fine. 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 when interacting with a complex, uncertain environment. InReinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. The only necessary mathematical background is familiarity with elementary concepts of probability. Owner Signature on ffep, fine otherwise. 7¼" - 9¼". Book. Bestandsnummer des Verkäufers 278286
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Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Dust jacket in fair condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9780262193986. Bestandsnummer des Verkäufers 4315703
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Anbieter: GoldBooks, Denver, CO, USA
Hardcover. Zustand: new. New Copy. Customer Service Guaranteed. Bestandsnummer des Verkäufers 12W50_51_0262193981
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Anbieter: Duru Media, Tallahassee, FL, USA
hardcover. Zustand: New. Bestandsnummer des Verkäufers 01KRDV8P4QFKXDJ
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Anbieter: DeckleEdge LLC, Albuquerque, NM, USA
hardcover. Zustand: new. Bestandsnummer des Verkäufers Shelfdream0262193981