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Markov Decision Processes with Their Applications


Qiying Hu , Wuyi Yue


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...

Parution : 2007-09-14
Format(s) : PDF
Éditeur : Springer
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