Optimizing the expected mean payoff in Energy Markov Decision Processes
Brázdil T, Kučera A, Novotný P. 2016. Optimizing the expected mean payoff in Energy Markov Decision Processes. ATVA: Automated Technology for Verification and Analysis, LNCS, vol. 9938, 32–49.
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Author
Brázdil, Tomáš;
Kučera, Antonín;
Novotny, PetrISTA
Department
Series Title
LNCS
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.
Publishing Year
Date Published
2016-09-22
Acknowledgement
The research was funded by the Czech Science Foundation Grant No. P202/12/G061 and by the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007-2013) under REA grant agreement no [291734].
Volume
9938
Page
32 - 49
Conference
ATVA: Automated Technology for Verification and Analysis
Conference Location
Chiba, Japan
Conference Date
2016-10-17 – 2016-10-20
IST-REx-ID
Cite this
Brázdil T, Kučera A, Novotný P. Optimizing the expected mean payoff in Energy Markov Decision Processes. In: Vol 9938. Springer; 2016:32-49. doi:10.1007/978-3-319-46520-3_3
Brázdil, T., Kučera, A., & Novotný, P. (2016). Optimizing the expected mean payoff in Energy Markov Decision Processes (Vol. 9938, pp. 32–49). Presented at the ATVA: Automated Technology for Verification and Analysis, Chiba, Japan: Springer. https://doi.org/10.1007/978-3-319-46520-3_3
Brázdil, Tomáš, Antonín Kučera, and Petr Novotný. “Optimizing the Expected Mean Payoff in Energy Markov Decision Processes,” 9938:32–49. Springer, 2016. https://doi.org/10.1007/978-3-319-46520-3_3.
T. Brázdil, A. Kučera, and P. Novotný, “Optimizing the expected mean payoff in Energy Markov Decision Processes,” presented at the ATVA: Automated Technology for Verification and Analysis, Chiba, Japan, 2016, vol. 9938, pp. 32–49.
Brázdil T, Kučera A, Novotný P. 2016. Optimizing the expected mean payoff in Energy Markov Decision Processes. ATVA: Automated Technology for Verification and Analysis, LNCS, vol. 9938, 32–49.
Brázdil, Tomáš, et al. Optimizing the Expected Mean Payoff in Energy Markov Decision Processes. Vol. 9938, Springer, 2016, pp. 32–49, doi:10.1007/978-3-319-46520-3_3.
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