Isbn: 9783031090325 - reinforcement learning from scratch: understanding current approaches - with examples in java and greenfoot (7 risultati)

Perfeziona la tua ricerca

  • Libri (7)

  • Nuovo (7)

a

Fascia di prezzo personalizzata (EUR)

a

  • Lingua: Inglese

    Editore: Springer, 2023

    3031090322 / 9783031090325

    • Brossura

    Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 81,49

    EUR 11,03 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: Più di 20 disponibili

    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Springer, 2023

    3031090322 / 9783031090325

    • Brossura

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 67,30

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibile

    Taschenbuch. 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.…

  • Lingua: Inglese

    Editore: Springer-Nature New York Inc, 2023

    3031090322 / 9783031090325

    • Brossura

    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 93,58

    EUR 11,77 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 2 disponibili

    Paperback. Condizione: Brand New. 198 pages. 9.26x6.10x0.42 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer, 2023

    3031090322 / 9783031090325

    • Brossura
    • Print on Demand

    Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 54,23

    EUR 5,50 spedizione 
    Spedito da Italia a U.S.A.

    Quantità: Più di 20 disponibili

    Condizione: new. Questo è un articolo print on demand.

  • Lingua: Inglese

    Editore: Springer International Publishing Okt 2023, 2023

    3031090322 / 9783031090325

    • Brossura
    • Print on Demand

    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 64,19

    EUR 23,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 200 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer, Berlin|Springer International Publishing|Springer Vieweg|Springer, 2023

    3031090322 / 9783031090325

    • Brossura
    • Print on Demand

    Da: moluna, Greven, Germaniamoluna

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 55,78

    EUR 48,99 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: Più di 20 disponibili

    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 .…

  • Lingua: Inglese

    Editore: Springer, Palgrave Macmillan Okt 2023, 2023

    3031090322 / 9783031090325

    • Brossura
    • Print on Demand

    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 64,19

    EUR 60,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibile

    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 is an 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 allowed to play along, experiment, and add their own ideas and experiments.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 200 pp. Englisch.…