@InProceedings{dantam_et_al_LIPIcs.ICALP.2024.133,
author = {Dantam, Mohan and Mayr, Richard},
title = {{Finite-Memory Strategies for Almost-Sure Energy-MeanPayoff Objectives in MDPs}},
booktitle = {51st International Colloquium on Automata, Languages, and Programming (ICALP 2024)},
pages = {133:1--133:17},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
isbn = {978-3-95977-322-5},
issn = {1868-8969},
year = {2024},
volume = {297},
editor = {Bringmann, Karl and Grohe, Martin and Puppis, Gabriele and Svensson, Ola},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
url = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2024.133},
urn = {urn:nbn:de:0030-drops-202762},
doi = {10.4230/LIPIcs.ICALP.2024.133},
annote = {Keywords: Markov decision processes, energy, mean payoff, parity, strategy complexity},
date-added = {2024-7-5 7:35:50 +0100}
}
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