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 ...
Quasi-open-loop policies consist of sequences of Markovian decision rules that are insensitive to one component of the state space. Given a semi-Markov decision process (SMDP), we distinguish between ...
We present new numerical algorithms and bounds for the infinite horizon, discrete stage, finite state and action Markov decision process with imprecise transition probabilities. We assume that the ...
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