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Trading performance for stability in Markov decision processes

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BRÁZDIL Tomáš CHATTERJEE Krishnendu FOREJT Vojtěch KUČERA Antonín

Druh Článek v odborném periodiku
Časopis / Zdroj Journal of Computer and System Sciences
Fakulta / Pracoviště MU

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Citace
Doi http://dx.doi.org/10.1016/j.jcss.2016.09.009
Obor Informatika
Klíčová slova Markov decision processes; Mean payoff; Stability; Stochastic systems; Controller synthesis
Popis We study controller synthesis problems for finite-state Markov decision processes, where the objective is to optimize the expected mean-payoff performance and stability (also known as variability in the literature). We argue that the basic notion of expressing the stability using the statistical variance of the mean payoff is sometimes insufficient, and propose an alternative definition. We show that a strategy ensuring both the expected mean payoff and the variance below given bounds requires randomization and memory, under both the above definitions. We then show that the problem of finding such a strategy can be expressed as a set of constraints.
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