@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} }
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