Weighted discounted Markov decision processes with perturbation

In this paper we consider the weighted reward discounted Markov Decision Processes orMDP's, for short, with perturbation. We give the proof of existence of an optimal simple ulti-mately deterministic policy for process We also prove that there exists a -optimalsimple ultimately deterministic policy in the perturbed weighted MDP, for all Finally weprove the following result: If is an optimal policy of then for any >0 there existsan -neighborhood B(D) such that when D1 B(D), is a -optimal policy of