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Lecture Notes in Computer Science
We consider Markov Decision Processes (MDPs) with mean-payoff parity and energy parity objectives. In system design, the parity objective is used to encode ω-regular specifications, while the mean-payoff and energy objectives can be used to model quantitative resource constraints. The energy condition requires that the resource level never drops below 0, and the mean-payoff condition requires that the limit-average value of the resource consumption is within a threshold. While these two (energydoi:10.1007/978-3-642-22993-0_21 fatcat:vqqlf5mccndlvn4k2rlkms3ptq