2010
One-Counter Stochastic Games
BRÁZDIL, Tomáš, Václav BROŽEK and Kousha ETESSAMIBasic information
Original name
One-Counter Stochastic Games
Authors
BRÁZDIL, Tomáš (203 Czech Republic, belonging to the institution), Václav BROŽEK (203 Czech Republic, guarantor, belonging to the institution) and Kousha ETESSAMI (840 United States of America)
Edition
Dagstuhl, Germany, IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2010), p. 108-119, 12 pp. 2010
Publisher
Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik
Other information
Language
English
Type of outcome
Proceedings paper
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Germany
Confidentiality degree
is not subject to a state or trade secret
RIV identification code
RIV/00216224:14330/10:00044742
Organization unit
Faculty of Informatics
ISBN
978-3-939897-23-1
ISSN
UT WoS
000310361000009
Keywords in English
one-counter automata; simple stochastic games; Markov decision process; termination; long run average reward
Tags
International impact, Reviewed
Changed: 28/4/2011 15:13, doc. RNDr. Tomáš Brázdil, Ph.D., MBA
Abstract
V originále
We study the computational complexity of basic decision problems for one-counter simple stochastic games (OC-SSGs), under various objectives. OC-SSGs are 2-player turn-based stochastic games played on transition graphs of classic one-counter automata. We study primarily the termination objective, where one player has to maximize the probability of reaching counter value 0, while the other player wishes to avoid this. Partly motivated by the goal of understanding termination objectives, we also study certain ``limit'' and ``long run average'' reward objectives. We show that the qualitative termination problem for OC-SSGs is both in NP and coNP, and in P-time for 1-player OC-SSGs. Moreover, we show that quantitative limit problems for OC-SSGs are both in NP and coNP, and are in P-time for 1-player OC-MDPs. Both qualitative limit problems and qualitative termination problems for OC-SSGs are already at least as hard as Condon's quantitative decision problem for finite-state SSGs.
Links
GAP202/10/1469, research and development project |
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MSM0021622419, plan (intention) |
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1M0545, research and development project |
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