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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Bibliographic Details
Main Authors: Hu, Qiying, Yue, Wuyi
Format: Book
Language:English
Published: Springer 2017
Subjects:
Online Access:http://repository.vnu.edu.vn/handle/VNU_123/26523
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Institution: Vietnam National University, Hanoi
Language: English