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arXiv · 1607.00678

Optimizing the Expected Mean Payoff in Energy Markov Decision Processes

Tomáš Brázdil·Antonín Kučera·Petr Novotný
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Abstract

Energy Markov Decision Processes (EMDPs) are finite-state Markov decision processes where each transition is assigned an integer counter update and a rational payoff. An EMDP configuration is a pair s(n), where s is a control state and n is the current counter value. The configurations are changed by performing transitions in the standard way. We consider the problem of computing a safe strategy (i.e., a strategy that keeps the counter non-negative) which maximizes the expected mean payoff.

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Tomáš Brázdil, Antonín Kučera, Petr Novotný. 2016-07-03. Optimizing the Expected Mean Payoff in Energy Markov Decision Processes. https://arxiv.org/abs/1607.00678

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