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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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Hu, Qiying (Auteur), Yue, Wuyi (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer US : Imprint: Springer, 2008.
Édition:1st ed. 2008.
Collection:Advances in Mechanics and Mathematics, 14
Sujets:
Operations research.
Management science.
Probabilities.
Mathematical optimization.
Calculus of variations.
Industrial engineering.
Production engineering.
Operations Research, Management Science .
Probability Theory.
Calculus of Variations and Optimization.
Industrial and Production Engineering.
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