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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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.
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Librería: HPB-Red, Dallas, TX, Estados Unidos de America
Hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Nº de ref. del artículo: S_469105041
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Librería: Goodwill of Silicon Valley, SAN JOSE, CA, Estados Unidos de America
Condición: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear. Nº de ref. del artículo: GWSVV.0262193981.G
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Librería: Sunshine State Books, Lithia, FL, Estados Unidos de America
hardcover. Condición: As New. Hardback--no flaws. Nº de ref. del artículo: BT260506088X48
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Librería: Sekkes Consultants, North Dighton, MA, Estados Unidos de America
Hardcover. Condición: Near fine. Estado de la sobrecubierta: 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. Nº de ref. del artículo: 278286
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Librería: Goodmediandmore, Asheville, NC, Estados Unidos de America
Some marking on text. Ships next business day from NC. Nº de ref. del artículo: S88-BB5-36.95-012226-A-1.4M-033
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Librería: Anybook.com, Lincoln, Reino Unido
Condición: 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. Nº de ref. del artículo: 4315703
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Librería: ReviBlio, Barcelona, B, España
Condition: 15 pages with some highlighted text, the rest excellent. The book provides a clear and simple account of the key ideas and algorithms in this area of artificial intelligence, where an agent learns to maximize a cumulative reward by interacting with a complex, uncertain environment. It covers the history of the field's intellectual foundations and proceeds to the core algorithms and concepts, including: The Reinforcement Learning Problem framed in terms of Markov Decision Processes (MDPs). Basic Solution Methods like Dynamic Programming, Monte Carlo methods, and the influential Temporal-Difference (TD) learning (e.g., Q-learning and SARSA). Function Approximation for handling large state spaces, including the use of artificial neural networks. More advanced topics like policy-gradient methods and a discussion of RL's relationships to psychology and neuroscience. Often referred to as the "bible" of the field, it is a foundational text suitable for students, researchers, and practitioners with a basic understanding of probability. Nº de ref. del artículo: ABE-1760107744142
Cantidad disponible: 1 disponibles
Librería: Buchpark, Trebbin, Alemania
Condición: Gut. Zustand: Gut | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar. Nº de ref. del artículo: 1509267/203
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Librería: Vulkaneifel Bücher, Birgel, Alemania
hardcover. Condición: Sehr gut. Auflage: second edition. 344 Seiten leichte Druckstelle am Cover u. Etikettenrest am Schutzumschlag, kleine Lagerspuren am Buch, Inhalt einwandfrei und ungelesen Sprache: Englisch Gewicht in Gramm: 860. Nº de ref. del artículo: 224561
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Librería: GoldBooks, Denver, CO, Estados Unidos de America
Hardcover. Condición: new. New Copy. Customer Service Guaranteed. Nº de ref. del artículo: 12W50_51_0262193981
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