Da: Best Price, Torrance, CA, U.S.A.
EUR 56,79
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 70,13
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Aggiungi al carrelloCondizione: New. In English.
Da: Best Price, Torrance, CA, U.S.A.
EUR 78,45
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 83,80
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 87,92
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Da: California Books, Miami, FL, U.S.A.
EUR 103,27
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Da: Books Puddle, New York, NY, U.S.A.
EUR 103,76
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Aggiungi al carrelloCondizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Editore: Springer International Publishing, 2023
ISBN 10: 3031090322 ISBN 13: 9783031090325
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 64,19
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Springer International Publishing, 2022
ISBN 10: 3031090292 ISBN 13: 9783031090295
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 85,59
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Aggiungi al carrelloBuch. Condizione: 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.
Editore: Springer-Nature New York Inc, 2022
ISBN 10: 3031090292 ISBN 13: 9783031090295
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 124,50
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Aggiungi al carrelloHardcover. Condizione: Brand New. 184 pages. 9.75x6.50x0.50 inches. In Stock.
Da: Majestic Books, Hounslow, Regno Unito
EUR 106,81
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 110,95
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.