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cs.FL2020
Qualitative Controller Synthesis for Consumption Markov Decision Processes
František Blahoudek, Tomáš Brázdil, Petr Novotný +3
Consumption Markov Decision Processes (CMDPs) are probabilistic decision-making models of resource-constrained systems. In a CMDP, the controller possesses a certain amount of a cr…
cs.AI2020
Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes
Tomas Brazdil, Krishnendu Chatterjee, Petr Novotny +1
Markov decision processes (MDPs) are the defacto frame-work for sequential decision making in the presence ofstochastic uncertainty. A classical optimization criterion forMDPs is t…