Markov decision processes with a noise

Abstract

In the fields of operations research, statistical science, etc., decision-making processes are sometimes de- scribed as Markov decision processes. In this presentation, the prior distribution was taken into consideration in order to discuss the Bayesian Markov decision processes. Specifically, we recognize prior distributions as fuzzy numbers and consider more robust mathematical models.