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Markov Decision Processes with Multiple Long-run Average Objectives

Tomáš Brázdil ; Václav Brožek ; Krishnendu Chatterjee ; Vojtěch Forejt ; Antonín Kučera.

We study Markov decision processes (MDPs) with multiple limit-average (or mean-payoff) functions. We consider two different objectives, namely, expectation and satisfaction objectives. Given an MDP with k limit-average functions, in the expectation objective the goal is to maximize the expected&nbsp;[&hellip;]

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Model Checking Probabilistic Pushdown Automata

Javier Esparza ; Antonin Kucera ; Richard Mayr.

We consider the model checking problem for probabilistic pushdown automata (pPDA) and properties expressible in various probabilistic logics. We start with properties that can be formulated as instances of a generalized random walk problem. We prove that both qualitative and quantitative model&nbsp;[&hellip;]

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