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Markov Decision Processes with Their Applications

Markov decision processes (MDPs), also called stochastic dynamic programming, were first studied in the 1960s. MDPs can be used to model and solve dynamic decision-making problems that are multi-period and occur in stochastic circumstances. There are three basic branches in MDPs: discrete-time MDPs,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Hu, Qiying (Autor), Yue, Wuyi (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Advances in Mechanics and Mathematics, 14
Temas:
Acceso en línea:Texto Completo

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