Optimal Continuous Time Markov Decisions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00081290" target="_blank" >RIV/00216224:14330/15:00081290 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-24953-7_12" target="_blank" >http://dx.doi.org/10.1007/978-3-319-24953-7_12</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-24953-7_12" target="_blank" >10.1007/978-3-319-24953-7_12</a>
Alternative languages
Result language
angličtina
Original language name
Optimal Continuous Time Markov Decisions
Original language description
In the context of Markov decision processes running in continuous time, one of the most intriguing challenges is the efficient approximation of finite horizon reachability objectives. A multitude of sophisticated model checking algorithms have been proposed for this. However, no proper benchmarking has been performed thus far. This paper presents a novel and yet simple solution: an algorithm originally developed for a restricted subclass of models and a subclass of schedulers can be twisted so as to become competitive with the more sophisticated algorithms in full generality. As the second main contribution, we perform a comparative evaluation of the core algorithmic concepts on an extensive set of benchmarks varying over all key parameters: model size, amount of non-determinism, time horizon, and precision.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GBP202%2F12%2FG061" target="_blank" >GBP202/12/G061: Center of excellence - Institute for theoretical computer science (CE-ITI)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ATVA 2015
ISBN
9783319249520
ISSN
0302-9743
e-ISSN
—
Number of pages
17
Pages from-to
166-182
Publisher name
Springer
Place of publication
Shanghai, China
Event location
Shanghai, China
Event date
Jan 1, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—