Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning) - Hardcover

Name: Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
Author: Sutton, Richard S.; Barto, Andrew G.
ISBN: 9780262193986

Sutton, Richard S.; Barto, Andrew G.

9780262193986: Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)

Hardcover

ISBN 10: 0262193981 ISBN 13: 9780262193986

Verlag: MIT Press, 1998

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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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�ber die Autorinnen und Autoren

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.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag: MIT Press
Erscheinungsdatum: 1998
Sprache: Englisch
ISBN 10: 0262193981
ISBN 13: 9780262193986
Einband: Gebundene Ausgabe
Auflage: 2
Anzahl der Seiten: 344
Kontakt zum Hersteller: Nicht verf�gbar
Verantwortliche Person: Buchpark GmbH
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Reinforcement Learning: An Introduction

Richard S Sutton

Verlag: MIT Press Ltd, 1998

ISBN 10: 0262193981 ISBN 13: 9780262193986

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Hardback. Zustand: Good. 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.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 when interacting with a complex, uncertain environment. In Reinforcement Learning, 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. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning. Artikel-Nr. CIN0262193981G

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Reinforcement Learning: An Introduction

Richard S Sutton

Verlag: MIT Press Ltd, 1998

ISBN 10: 0262193981 ISBN 13: 9780262193986

Gebraucht Hardcover

Anbieter: World of Books (was SecondSale), Montgomery, IL, USA

Verk�uferbewertung 5 von 5 Sternen

Hardback. Zustand: Very Good. 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.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 when interacting with a complex, uncertain environment. In Reinforcement Learning, 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. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning. Artikel-Nr. CIN0262193981VG

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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)

Barto, Andrew G.

Verlag: Bradford Books, 1998

ISBN 10: 0262193981 ISBN 13: 9780262193986

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Hardback. 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. Artikel-Nr. GOR005124400

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Reinforcement Learning

Sutton, Richar S.; Barto Andrew G.

Verlag: MIT Press, Cambridge, MA, 1998

ISBN 10: 0262193981 ISBN 13: 9780262193986

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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. 7�" - 9�". Book. Artikel-Nr. 278286

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Reinforcement Learning An Introduction (Adaptive Computation and Machine Learning Series)

Sutton, Richard S.

Verlag: MIT Press, 1998

ISBN 10: 0262193981 ISBN 13: 9780262193986

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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. Artikel-Nr. 4315703

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Reinforcement Learning Richard S. (University of Alberta) Sutton, Andrew G. (Co-Director Autonomous Learning Laboratory) Barto

Richard S. (University of Alberta) Sutton, Andrew G. (Co-Director Autonomous Learning Laboratory) Barto

Verlag: MIT Press Ltd, 1998

ISBN 10: 0262193981 ISBN 13: 9780262193986

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Hardcover. Zustand: gut. 1998. Reinforcement Learning In englischer Sprache. pages. Artikel-Nr. BN183369

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