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Markov Decision Process: Andrey Markov, Partially observable Markov decision process, Markov property, Optimal control theory, Tuple, Stochastic, Discrete time - Tapa blanda
Sinopsis
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Markov decision processes (MDPs), named after Andrey Markov, provide a mathematical framework for modeling decision-making in situations where outcomes are partly random and partly under the control of a decision maker. MDPs are useful for studying a wide range of optimization problems solved via dynamic programming and reinforcement learning. MDPs were known at least as early as the 1950s (cf. Bellman 1957). Much research in the area was spawned due to Ronald A. Howard''s book, Dynamic Programming and Markov Processes, in 1960. Today they are used in a variety of areas, including robotics, automated control, economics and manufacturing.
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Markov decision processes (MDPs), named after Andrey Markov, provide a mathematical framework for modeling decision-making in situations where outcomes are partly random and partly under the control of a decision maker. MDPs are useful for studying a wide range of optimization problems solved via dynamic programming and reinforcement learning. MDPs were known at least as early as the 1950s (cf. Bellman 1957). Much research in the area was spawned due to Ronald A. Howard''s book, Dynamic Programming and Markov Processes, in 1960. Today they are used in a variety of areas, including robotics, automated control, economics and manufacturing.
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Markov Decision Process
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Omniscriptum Mär 2026, 2026
ISBN 10: 6131750599
ISBN 13: 9786131750595
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 72 pp. Englisch. Nº de ref. del artículo: 9786131750595
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Markov Decision Process : Andrey Markov, Partially observable Markov decision process, Markov property, Optimal control theory, Tuple, Stochastic, Discrete time
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
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. Nº de ref. del artículo: 9786131750595
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Imagen del vendedor
Markov Decision Process
Publicado por
Omniscriptum Mär 2026, 2026
ISBN 10: 6131750599
ISBN 13: 9786131750595
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
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. Nº de ref. del artículo: 9786131750595
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EUR 116,00
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