Probabilistic model checking and Markov decision processes (MDPs) form two interlinked branches of formal analysis for systems operating under uncertainty. These techniques offer a mathematical ...
This is a preview. Log in through your library . Abstract Nonstationary infinite-horizon Markov decision processes (MDPs) generalize the most well-studied class of sequential decision models in ...
In this paper we consider infinite horizon discrete-time optimal control of Markov decision processes (MDPs) with finite state spaces and compact action sets. We restrict attention to unicost MDPs, ...
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