@Unpublished{ gimbert:hal-00559173,
Author = "Gimbert, Hugo and Oualhadj, Youssouf and Paul, Soumya",
Abstract = "{We study Markov decision processes (one-player stochastic games) equipped with parity and positive-average conditions. In these games, the goal of the player is to maximize the probability that both the parity and the positive-average conditions are fulfilled. We show that the values of these games are computable. We also show that optimal strategies exist, require only finite memory and can be effectively computed.}",
affiliation = "Laboratoire Bordelais de Recherche en Informatique - LaBRI , Institute of Mathematical Sciences [India] - IMSc",
date-added = "2014-01-24 14:35:17 +0000",
date-modified = "2014-01-24 14:35:17 +0000",
hal_id = "hal-00559173",
Keywords = "Quantitative analysis; Parity games; Markov decision processes",
Language = "English",
Month = "January",
PDF = "http://hal.archives-ouvertes.fr/hal-00559173/PDF/Gimbert\\_Oualhadj\\_Paul\\_MDPs\\_parity\\_positiveaverage.pdf",
Title = "{Computing Optimal Strategies for Markov Decision Processes with Parity and Positive-Average Conditions}",
URL = "http://hal.archives-ouvertes.fr/hal-00559173",
Year = "2011",
bdsk-url-1 = "http://hal.archives-ouvertes.fr/hal-00559173",
File = "Computing Optimal Strategies for Markov Decision Processes with Parity and Positive-Average Conditions - Gimbert, Oualhadj, Paul (0) (0) - a - a - r.pdf"
}
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