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Markov decision processes (MDPs), also called stochastic dynamic programming, have been studied extensively since they were first introduced in 1960 [55]. MDPs were mainly used to model and solve dynamic decision-making problems with multi-periods under stochastic circumstances.

Keywords

Discount Factor Markov Decision Process Reserve Price Reward Function Supervisory Control 
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© Springer Science+Business Media, LLC 2008

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