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 We present a new complexity result on solving the Markov decision problem (MDP) with n states and a number of actions for each state, a ...
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 ...
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