Condition: As New. Unread book in perfect condition.
Condition: New.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 45.35
Quantity: Over 20 available
Add to basketCondition: New. In.
Language: English
Published by Taylor & Francis Ltd, 2022
ISBN 10: 0367643952 ISBN 13: 9780367643959
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
paperback. Condition: Very Good.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 56.14
Quantity: Over 20 available
Add to basketCondition: New. In.
Language: English
Published by Routledge 2022-08-01, 2022
ISBN 10: 0367643952 ISBN 13: 9780367643959
Seller: Chiron Media, Wallingford, United Kingdom
£ 53.54
Quantity: Over 20 available
Add to basketPaperback. Condition: New.
Language: English
Published by Springer Verlag, Singapore, Singapore, 2025
ISBN 10: 9819739438 ISBN 13: 9789819739431
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. This book provides a mathematical yet accessible introduction to the fundamental concepts, core challenges, and classic reinforcement learning algorithms. It aims to help readers understand the theoretical foundations of algorithms, providing insights into their design and functionality. Numerous illustrative examples are included throughout. The mathematical content is carefully structured to ensure readability and approachability.The book is divided into two parts. The first part is on the mathematical foundations of reinforcement learning, covering topics such as the Bellman equation, Bellman optimality equation, and stochastic approximation. The second part explicates reinforcement learning algorithms, including value iteration and policy iteration, Monte Carlo methods, temporal-difference methods, value function methods, policy gradient methods, and actor-critic methods.With its comprehensive scope, the book will appeal to undergraduate and graduate students, post-doctoral researchers, lecturers, industrial researchers, and anyone interested in reinforcement learning. This book provides a mathematical but friendly introduction to the fundamental concepts, basic problems, and classic algorithms in reinforcement learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Publication Date: 1991
ISBN 10: 7805783314 ISBN 13: 9787805783314
Seller: BookOrders, Russell, IA, U.S.A.
Soft Cover. Condition: Good. Inscription on first blank page. The interior is clean and tight. Binding is good. Cover shows light wear. 259 pages. Fold out map attached in back. The text is in Chinese.
Condition: New.
Condition: New.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Condition: Very good.
Condition: New.
Paperback. Condition: Brand New. 212 pages. 9.18x6.12x0.51 inches. In Stock.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 300 pages. 10.00x7.00x10.24 inches. In Stock.
Condition: New.
Condition: As New. Unread book in perfect condition.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 85.99
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 91.07
Quantity: Over 20 available
Add to basketCondition: New. In.
Language: English
Published by Springer Verlag, Singapore, Singapore, 2025
ISBN 10: 9819739438 ISBN 13: 9789819739431
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. This book provides a mathematical yet accessible introduction to the fundamental concepts, core challenges, and classic reinforcement learning algorithms. It aims to help readers understand the theoretical foundations of algorithms, providing insights into their design and functionality. Numerous illustrative examples are included throughout. The mathematical content is carefully structured to ensure readability and approachability.The book is divided into two parts. The first part is on the mathematical foundations of reinforcement learning, covering topics such as the Bellman equation, Bellman optimality equation, and stochastic approximation. The second part explicates reinforcement learning algorithms, including value iteration and policy iteration, Monte Carlo methods, temporal-difference methods, value function methods, policy gradient methods, and actor-critic methods.With its comprehensive scope, the book will appeal to undergraduate and graduate students, post-doctoral researchers, lecturers, industrial researchers, and anyone interested in reinforcement learning. This book provides a mathematical but friendly introduction to the fundamental concepts, basic problems, and classic algorithms in reinforcement learning. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Taschenbuch. Condition: Neu. Mathematical Foundations of Reinforcement Learning | Shiyu Zhao | Taschenbuch | xvi | Englisch | 2026 | Springer | EAN 9789819739462 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.