Markov decision processes (MDPs) and stochastic control constitute pivotal frameworks for modelling decision-making in systems subject to uncertainty. At their core, MDPs provide a structured means to ...
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 ...
Mathematics of Operations Research, Vol. 22, No. 4 (Nov., 1997), pp. 872-885 (14 pages) The present work deals with the comparison of (discrete time) Markov decision processes (MDPs), which differ ...
This paper examines monotonicity results for a fairly general class of partially observable Markov decision processes. When there are only two actual states in the system and when the actions taken ...
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