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Markov decision process andrey (1 risultati)

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  • Lingua: Inglese

    Editore: Omniscriptum, 2010

    6131750599 / 9786131750595

    • Brossura
    • Print on Demand

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

    Venditore con 5 stelle
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    Condizione: Nuovo

    EUR 123,17

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

    Quantità: 1 disponibile

    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. Markov decisionprocesses (MDPs), named after Andrey Markov, provide a mathematicalframework for modeling decision-making in situations where outcomes arepartly random and partly under the control of a decision maker. MDPs areuseful for studying a wide range of optimization problems solved viadynamic programming and reinforcement learning. MDPs were known at leastas early as the 1950s (cf. Bellman 1957). Much research in the area wasspawned due to Ronald A. Howard's book, Dynamic Programming and MarkovProcesses, in 1960. Today they are used in a variety of areas, includingrobotics, automated control, economics and manufacturing.…