Solving Markov Decision Processes via Simulation

Abstract

This chapter presents an overview of simulation-based techniques useful for solving Markov decision problems/processes (MDPs). MDPs are problems of sequential decision-making in which decisions made in each state collectively affect the trajectory of the states visited by the system — over a time horizon of interest to the analyst. The trajectory in turn… (More)

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