We consider partially observed Markov decision processes with control limits. We analytically show how the finite …

We study Markov decision problems where the agent does not know the transition probability function mapping current …

state of an underlying system. Partially Observable Markov Decision Processes (POMDPs) are widely used in such applications …. To use a POMDP, however, a decision-maker must have access to reliable estimations of core state and observation …-negative errors, and hence, the decision-maker has imperfect information about the health state of a patient. Furthermore, since some …

optimization problem. The agent faces a Markov Decision Process, where a transition probability function determines the evolution …