Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9781680837445
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Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781680837445
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Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781680837445
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 156. Seller Inventory # C9781680837445
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Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 188 pages. 9.21x6.14x0.40 inches. In Stock. Seller Inventory # x-1680837443
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Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 188. Seller Inventory # 26388131554
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This monograph describes the use of principles of reinforcement learning (RL) to design feedback policies for continuous-time dynamical systems that combine features of adaptive control and optimal control. In a control engineering context, RL bridges the gap between traditional optimal control and adaptive control algorithms.The authors give an insightful introduction to reinforcement learning techniques that can address various control problems. In this context, they give a detailed description of techniques such as Game-Theoretic Learning, Q-learning, and Intermittent RL; with each chapter providing a self-contained exposition of the topic and giving the reader suggestions for further reading. Finally, the authors demonstrate the application of the techniques in autonomous vehicles.This review of a topic that is rapidly becoming ubiquitous in many engineering systems enables to reader dip in and out of the topic to quickly understand the essentials and provides the starting point for further research. Seller Inventory # 9781680837445
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Seller: moluna, Greven, Germany
Condition: New. Describes the use of principles of reinforcement learning (RL) to design feedback policies for continuous-time dynamical systems that combine features of adaptive control and optimal control. The authors give an insightful introduction to reinforcement lear. Seller Inventory # 448250000
Quantity: Over 20 available