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semi markov decision process

Wednesday, December 9th, 2020

After classification, an action a e A oust be chosen. Then the number of arrivals in a time interval and the Markov state are related through the conditional probability distribution. To find pj, we first observe that the rate at which the number in the system changes from (j − 1) to j must be equal to the rate at which it changes from j to (j − 1). This type of semi-Markov process is applied to such as reliability analysis (Veeramany and Pandey, 2011). In this process, the times 0=T0

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