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Reinforcement Learning Scratch Understanding by Lorenz Uwe (12 results)
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Reinforcement Learning From Scratch: Understanding Current Approaches - with Examples in Java and Greenfoot
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 61.04
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In English.
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Reinforcement Learning From Scratch: Understanding Current Approaches - with Examples in Java and Greenfoot
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 76.40
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In English.
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Reinforcement Learning From Scratch : Understanding Current Approaches - with Examples in Java and Greenfoot
Language: English
Published by Springer International Publishing, 2023
ISBN 10: 3031090322 ISBN 13: 9783031090325
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - In ancient games such as chess or go, the most brilliant players can improve by studying the strategies produced by a machine. Robotic systems practice their own movements. In arcade games, agents capable of learning reach superhuman levels within a few hours. How do these spectacular reinforcement learning algorithms work With easy-to-understand explanations and clear examples in Java and Greenfoot, you can acquire the principles of reinforcement learning and apply them in your own intelligent agents. Greenfoot (M.Kölling, King's College London) and the hamster model (D. Bohles, University of Oldenburg) are simple but also powerful didactic tools that were developed to convey basic programming concepts.The result isan accessible introduction into machine learning that concentrates on reinforcement learning. Taking the reader through the steps of developing intelligent agents, from the very basics to advanced aspects, touching on a variety of machine learning algorithms along the way, one is allowedto play along, experiment, and add their own ideas and experiments.
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Taschenbuch. Condition: Neu. Reinforcement Learning From Scratch | Understanding Current Approaches - with Examples in Java and Greenfoot | Uwe Lorenz | Taschenbuch | xiv | Englisch | 2023 | Springer | EAN 9783031090325 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Reinforcement Learning From Scratch: Understanding Current Approaches - With Examples in Java and Greenfoot
Language: English
Published by Springer-Nature New York Inc, 2022
ISBN 10: 3031090292 ISBN 13: 9783031090295
Hardcover. Condition: Brand New. 184 pages. 9.75x6.50x0.50 inches. In Stock.
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Condition: New. Print on Demand pp. 200.
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Condition: New. PRINT ON DEMAND pp. 200.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In ancient games such as chess or go, the most brilliant players can improve by studying the strategies produced by a machine. Robotic systems practice their own movements. In arcade games, agents capable of learning reach superhuman levels within a few hours. How do these spectacular reinforcement learning algorithms work With easy-to-understand explanations and clear examples in Java and Greenfoot, you can acquire the principles of reinforcement learning and apply them in your own intelligent agents. Greenfoot (M.Kölling, King's College London) and the hamster model (D. Bohles, University of Oldenburg) are simple but also powerful didactic tools that were developed to convey basic programming concepts.The result isan accessible introduction into machine learning that concentrates on reinforcement learning. Taking the reader through the steps of developing intelligent agents, from the very basics to advanced aspects, touching on a variety of machine learning algorithms along the way, one is allowedto play along, experiment, and add their own ideas and experiments.
