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This paper deals with denumerable discrete-time Markov decision processes with unbounded costs. The criteria to be minimized are both of the limsup and liminf average criteria, instead of only the limsup average criterion widely used in the previous literature. We give another set of conditions...
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In this paper we consider the convergence of a sequence {Mn} of the models of discounted continuous-time constrained Markov decision processes (MDP) to the “limit” one, denoted by M∞. For the models with denumerable states and unbounded transition rates, under reasonably mild conditions we...
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