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.
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(2008). Introduction. In: Markov Decision Processes With Their Applications. Advances in Mechanics and Mathematics, vol 14. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-36951-8_1
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