ISBN: 9786131750595 - markov decision process: andrey markov, partially observable markov decision process, markov property, optimal control theory, tuple, stochastic, discrete time (3 resultados)

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  • Idioma: Inglés

    Editorial: Omniscriptum Mär 2026, 2026

    6131750599 / 9786131750595

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Condición: Nuevo

    EUR 116,00

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    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 72 pp. Englisch.

  • Idioma: Inglés

    Editorial: Omniscriptum, 2010

    6131750599 / 9786131750595

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 123,17

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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: 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.…

  • Idioma: Inglés

    Editorial: Omniscriptum Mär 2026, 2026

    6131750599 / 9786131750595

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Condición: Nuevo

    EUR 116,00

    Envío por EUR 60,00 
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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.…