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Control Systems Reinforcement Learning by Meyn Sean (24 results)
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
Condition: New.
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CONTROL SYSTEMS AND REINFORCEMENT LEARNING
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
US$ 67.13
Convert currencyUS$ 3.99 shipping within U.S.A.Quantity: Over 20 available
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
US$ 70.12
Convert currencyUS$ 7.94 shipping from France to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: Very good. Hardcover Octavo. illustrated boards, 435 pp Standard shipping (no tracking or insurance) / Priority (with tracking) / Custom quote for large or heavy orders.
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
US$ 66.20
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Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
Condition: New.
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
Condition: As New. Unread book in perfect condition.
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
Condition: New. New edition NO-PA16APR2015-KAP.
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 66.19
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Control Systems and Reinforcement Learning (Hardcover)
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
Hardcover. Condition: new. Hardcover. A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of 'deep' or 'Q', or why the code sometimes fails. This book is designed to explain the science behind reinforcement learning and optimal control in a way that is accessible to students with a background in calculus and matrix algebra. A unique focus is algorithm design to obtain the fastest possible speed of convergence for learning algorithms, along with insight into why reinforcement learning sometimes fails. Advanced stochastic process theory is avoided at the start by substituting random exploration with more intuitive deterministic probing for learning. Once these ideas are understood, it is not difficult to master techniques rooted in stochastic control. These topics are covered in the second part of the book, starting with Markov chain theory and ending with a fresh look at actor-critic methods for reinforcement learning. The book is written for newcomers to reinforcement learning who wish to write code for various applications, from robotics to power systems to supply chains. It also contains advanced material designed to prepare graduate students and professionals for both research and application of reinforcement learning and optimal control techniques. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
US$ 78.74
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
US$ 76.62
Convert currencyUS$ 13.29 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: Brand New. 435 pages. 9.75x6.75x1.00 inches. In Stock.
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
US$ 87.97
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 75.56
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 1041.
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 79.15
Convert currencyUS$ 19.94 shipping from United Kingdom to U.S.A.Quantity: 1 available
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
Condition: New. 2022. New. Hardcover. . . . . . Books ship from the US and Ireland.
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Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
US$ 109.36
Convert currencyUS$ 13.29 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 435 pages. 9.75x6.75x1.00 inches. In Stock.
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Control Systems and Reinforcement Learning
Published by Cambridge University Press Jun 2022, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
US$ 85.91
Convert currencyUS$ 37.71 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. Neuware - 'A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of 'deep' or 'Q', or why the code sometimes fails. This book is designed to explain the science behind reinforcement learning and optimal control in a way that is accessible to students with a background in calculus and matrix algebra. A unique focus is algorithm design to obtain the fastest possible speed of convergence for learning algorithms, along with insight into why reinforcement learning sometimes fails. Advanced stochastic process theory is avoided at the start by substituting random exploration with more intuitive deterministic probing for learning. Once these ideas are understood, it is not difficult to master techniques rooted in stochastic control. These topics are covered in the second part of the book, starting with Markov chain theory and ending with a fresh look at actor-critic methods for reinforcement learning'--.
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Control Systems and Reinforcement Learning (Hardcover)
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
US$ 78.70
Convert currencyUS$ 49.18 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of 'deep' or 'Q', or why the code sometimes fails. This book is designed to explain the science behind reinforcement learning and optimal control in a way that is accessible to students with a background in calculus and matrix algebra. A unique focus is algorithm design to obtain the fastest possible speed of convergence for learning algorithms, along with insight into why reinforcement learning sometimes fails. Advanced stochastic process theory is avoided at the start by substituting random exploration with more intuitive deterministic probing for learning. Once these ideas are understood, it is not difficult to master techniques rooted in stochastic control. These topics are covered in the second part of the book, starting with Markov chain theory and ending with a fresh look at actor-critic methods for reinforcement learning. The book is written for newcomers to reinforcement learning who wish to write code for various applications, from robotics to power systems to supply chains. It also contains advanced material designed to prepare graduate students and professionals for both research and application of reinforcement learning and optimal control techniques. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
-
Control Systems and Reinforcement Learning
Published by Cambridge University Press, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
US$ 81.64
Convert currencyUS$ 55.58 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketCondition: New. The book is written for newcomers to reinforcement learning who wish to write code for various applications, from robotics to power systems to supply chains. It also contains advanced material designed to prepare graduate students and professionals for both.
-
Control Systems and Reinforcement Learning (Hardcover)
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1316511960 ISBN 13: 9781316511961
Language: English
US$ 132.72
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of 'deep' or 'Q', or why the code sometimes fails. This book is designed to explain the science behind reinforcement learning and optimal control in a way that is accessible to students with a background in calculus and matrix algebra. A unique focus is algorithm design to obtain the fastest possible speed of convergence for learning algorithms, along with insight into why reinforcement learning sometimes fails. Advanced stochastic process theory is avoided at the start by substituting random exploration with more intuitive deterministic probing for learning. Once these ideas are understood, it is not difficult to master techniques rooted in stochastic control. These topics are covered in the second part of the book, starting with Markov chain theory and ending with a fresh look at actor-critic methods for reinforcement learning. The book is written for newcomers to reinforcement learning who wish to write code for various applications, from robotics to power systems to supply chains. It also contains advanced material designed to prepare graduate students and professionals for both research and application of reinforcement learning and optimal control techniques. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
