Informační systém MU
BLAHOUDEK, František, Murat CUBUKTEPE, Petr NOVOTNÝ, Melkior ORNIK, Pranay THANGEDA and Ufuk TOPCU. Fuel in Markov Decision Processes (FiMDP): A Practical Approach to Consumption. Online. In 24th International Symposium on Formal Methods, FM 2021. Cham, Switzerland: Springer, 2021, p. 640-656. ISBN 978-3-030-90869-0. Available from: https://dx.doi.org/10.1007/978-3-030-90870-6_34.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name Fuel in Markov Decision Processes (FiMDP): A Practical Approach to Consumption
Authors BLAHOUDEK, František (203 Czech Republic), Murat CUBUKTEPE (792 Turkey), Petr NOVOTNÝ (203 Czech Republic, guarantor, belonging to the institution), Melkior ORNIK (191 Croatia), Pranay THANGEDA (356 India) and Ufuk TOPCU (792 Turkey).
Edition Cham, Switzerland, 24th International Symposium on Formal Methods, FM 2021, p. 640-656, 17 pp. 2021.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/21:00119269
Organization unit Faculty of Informatics
ISBN 978-3-030-90869-0
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-030-90870-6_34
UT WoS 000758218600034
Keywords in English resource constraints; planning under uncertainty; Markov decision processes
Tags core_A, firank_A, formela-ver
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 28/4/2022 10:03.
Abstract
Consumption Markov Decision Processes (CMDPs) are prob- abilistic decision-making models of resource-constrained systems. We introduce FiMDP, a tool for controller synthesis in CMDPs with LTL objectives expressible by deterministic Büchi automata. The tool implements the recent algorithm for polynomial-time controller synthesis in CMDPs, but extends it with many additional features. On the conceptual level, the tool implements heuristics for improving the expected reachability times of accepting states, and a support for multi-agent task allocation. On the practical level, the tool offers (among other features) a new strategy simulation framework, integration with the Storm model checker, and FiMDPEnv - a new set of CMDPs that model real-world resource-constrained systems. We also present an evaluation of FiMDP on these real-world scenarios.
Links
GJ19-15134Y, research and development projectName: Verifikace a analýza pravděpodobnostních programů
Displayed: 23/7/2024 08:17