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@inproceedings{929376,
author = {Brožek, Václav and Brázdil, Tomáš and Chatterjee, Krishnendu and Forejt, Vojtěch and Kučera, Antonín},
address = {Los Alamitos, California},
booktitle = {Proceedings 26th Annual IEEE Symposium on Logic in Computer Science},
doi = {http://dx.doi.org/10.1109/LICS.2011.10},
editor = {Martin Grohe},
keywords = {Markov decision process; optimization with multiple objectives; mean payoff; Pareto curve; approximation},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Los Alamitos, California},
isbn = {978-0-7695-4412-0},
pages = {33-42},
publisher = {IEEE},
title = {Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes},
year = {2011}
}
TY - JOUR
ID - 929376
AU - Brožek, Václav - Brázdil, Tomáš - Chatterjee, Krishnendu - Forejt, Vojtěch - Kučera, Antonín
PY - 2011
TI - Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes
PB - IEEE
CY - Los Alamitos, California
SN - 9780769544120
KW - Markov decision process
KW - optimization with multiple objectives
KW - mean payoff
KW - Pareto curve
KW - approximation
N2 - 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.
ER -
BROŽEK, Václav, Tomáš BRÁZDIL, Krishnendu CHATTERJEE, Vojtěch FOREJT and Antonín KUČERA. Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes. In Martin Grohe. \textit{Proceedings 26th Annual IEEE Symposium on Logic in Computer Science}. Los Alamitos, California: IEEE, 2011, p.~33-42. ISBN~978-0-7695-4412-0. Available from: https://dx.doi.org/10.1109/LICS.2011.10.
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