BRÁZDIL, Tomáš, Václav BROŽEK, Kousha ETESSAMI, Antonín KUČERA and Dominik WOJTCZAK. One-Counter Markov Decision Processes. In Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms. Neuveden: SIAM, 2010, p. 863-874. ISBN 978-0-89871-698-6.
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Basic information
Original name One-Counter Markov Decision Processes
Authors BRÁZDIL, Tomáš (203 Czech Republic), Václav BROŽEK (203 Czech Republic), Kousha ETESSAMI (840 United States of America), Antonín KUČERA (203 Czech Republic, guarantor) and Dominik WOJTCZAK (616 Poland).
Edition Neuveden, Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, p. 863-874, 12 pp. 2010.
Publisher SIAM
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW Link to SODA 2010 electronic proceedings
RIV identification code RIV/00216224:14330/10:00043501
Organization unit Faculty of Informatics
ISBN 978-0-89871-698-6
UT WoS 000280699900070
Keywords in English Markov decision proces; probability; one counter MDP; reachability; termination
Tags International impact, Reviewed
Changed by Changed by: prof. RNDr. Antonín Kučera, Ph.D., učo 2508. Changed: 24/11/2010 22:26.
Abstract
We study One-Counter Markov Decision Processes (OC-MDPs), which extend finite-state MDPs with an unbounded counter. The counter can be incremented, decremented, or not changed during each state transition. Basic objectives for OC-MDPs include ``termination'' (Does the OC-MDP reach counter 0?) and ``limit'' questions (Is the limsup value infinity?). We may ask what is the optimal probability of such objectives, or ask for the existence and synthesis of optimal strategies. We show that several quantitative and almost-sure limit problems can be answered in polynomial time, and that almost-sure termination problems (without selection of desired terminal states) can also be answered in polynomial time. On the other hand, we show that the almost-sure termination problem with selected terminal states is PSPACE-hard and we provide an exponential time algorithm for this problem. We also characterize classes of strategies that suffice for optimality in several of these settings.
Abstract (in Czech)
V článku jsou studovány Markovovy rozhodovací procesy generované procesy s jedním neomezeným čítačem. Uvažovaná výherní kritéria zahrnují dosažitelnost a různé limitní vlastnosti běhů. V článku je dokázáno, že některé varianty těchto problémů jsou efektivně řešitelné v polynomiálním čase. O jiných je ukázáno, že jsou PSPACE těžké a je podán algoritmus s exponenciální časovou složitostí.
Links
MSM0021622419, plan (intention)Name: Vysoce paralelní a distribuované výpočetní systémy
Investor: Ministry of Education, Youth and Sports of the CR, Highly Parallel and Distributed Computing Systems
1M0545, research and development projectName: Institut Teoretické Informatiky
Investor: Ministry of Education, Youth and Sports of the CR, Institute for Theoretical Computer Science
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