{"day":"22","type":"conference","scopus_import":1,"quality_controlled":"1","oa_version":"Preprint","date_updated":"2021-01-12T06:49:53Z","page":"32 - 49","alternative_title":["LNCS"],"year":"2016","publisher":"Springer","_id":"1326","ec_funded":1,"publist_id":"5943","date_created":"2018-12-11T11:51:23Z","doi":"10.1007/978-3-319-46520-3_3","date_published":"2016-09-22T00:00:00Z","intvolume":" 9938","month":"09","publication_status":"published","main_file_link":[{"url":"https://arxiv.org/abs/1607.00678","open_access":"1"}],"oa":1,"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].","conference":{"location":"Chiba, Japan","name":"ATVA: Automated Technology for Verification and Analysis","start_date":"2016-10-17","end_date":"2016-10-20"},"volume":9938,"project":[{"grant_number":"291734","name":"International IST Postdoc Fellowship Programme","_id":"25681D80-B435-11E9-9278-68D0E5697425","call_identifier":"FP7"}],"status":"public","abstract":[{"text":"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. ","lang":"eng"}],"citation":{"short":"T. Brázdil, A. Kučera, P. Novotný, in:, Springer, 2016, pp. 32–49.","mla":"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.","chicago":"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.","ista":"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.","ieee":"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.","apa":"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","ama":"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"},"language":[{"iso":"eng"}],"department":[{"_id":"KrCh"}],"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","title":"Optimizing the expected mean payoff in Energy Markov Decision Processes","author":[{"first_name":"Tomáš","last_name":"Brázdil","full_name":"Brázdil, Tomáš"},{"first_name":"Antonín","full_name":"Kučera, Antonín","last_name":"Kučera"},{"last_name":"Novotny","full_name":"Novotny, Petr","id":"3CC3B868-F248-11E8-B48F-1D18A9856A87","first_name":"Petr"}]}