Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F11%3A00051963" target="_blank" >RIV/00216224:14330/11:00051963 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/LICS.2011.10" target="_blank" >http://dx.doi.org/10.1109/LICS.2011.10</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/LICS.2011.10" target="_blank" >10.1109/LICS.2011.10</a>
Alternative languages
Result language
angličtina
Original language name
Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes
Original language description
We study Markov decision processes (MDPs) with multiple limit-average (or mean-payoff) functions. We consider two different objectives, namely, expectation and satisfaction objectives. Given an MDP with k reward functions, in the expectation objective the goal is to maximize the expected value, and in the satisfaction objective the goal is to maximize the probability of runs such that the limit-average value stays above a given vector.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1M0545" target="_blank" >1M0545: Institute for Theoretical Computer Science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings 26th Annual IEEE Symposium on Logic in Computer Science
ISBN
978-0-7695-4412-0
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
33-42
Publisher name
IEEE
Place of publication
Los Alamitos, California
Event location
Toronto, Canada
Event date
Jan 1, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000297350400006