@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}
}