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Continuous-Time Markov Decisions Based on Partial Exploration

  • Technische Universität München
  • Saarland University

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

14 Zitate (Scopus)

Abstract

We provide a framework for speeding up algorithms for time-bounded reachability analysis of continuous-time Markov decision processes. The principle is to find a small, but almost equivalent subsystem of the original system and only analyse the subsystem. Candidates for the subsystem are identified through simulations and iteratively enlarged until runs are represented in the subsystem with high enough probability. The framework is thus dual to that of abstraction refinement. We instantiate the framework in several ways with several traditional algorithms and experimentally confirm orders-of-magnitude speed ups in many cases.

OriginalspracheEnglisch
TitelAutomated Technology for Verification and Analysis - 16th International Symposium, ATVA 2018, Proceedings
Redakteure/-innenChao Wang, Shuvendu K. Lahiri
Herausgeber (Verlag)Springer Verlag
Seiten317-334
Seitenumfang18
ISBN (Print)9783030010898
DOIs
PublikationsstatusVeröffentlicht - 2018
Veranstaltung16th International Symposium on Automated Technology for Verification and Analysis, ATVA 2018 - Los Angeles, USA/Vereinigte Staaten
Dauer: 7 Okt. 201810 Okt. 2018

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band11138 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz16th International Symposium on Automated Technology for Verification and Analysis, ATVA 2018
Land/GebietUSA/Vereinigte Staaten
OrtLos Angeles
Zeitraum7/10/1810/10/18

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