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 ...
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 ...
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 ...
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