License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.MFCS.2023.38
URN: urn:nbn:de:0030-drops-185724
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18572/
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Dantam, Mohan ; Mayr, Richard

Approximating the Value of Energy-Parity Objectives in Simple Stochastic Games

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LIPIcs-MFCS-2023-38.pdf (0.8 MB)


Abstract

We consider simple stochastic games G with energy-parity objectives, a combination of quantitative rewards with a qualitative parity condition. The Maximizer tries to avoid running out of energy while simultaneously satisfying a parity condition.
We present an algorithm to approximate the value of a given configuration in 2-NEXPTIME. Moreover, ε-optimal strategies for either player require at most O(2-EXP(|G|)⋅log(1/ε)) memory modes.

BibTeX - Entry

@InProceedings{dantam_et_al:LIPIcs.MFCS.2023.38,
  author =	{Dantam, Mohan and Mayr, Richard},
  title =	{{Approximating the Value of Energy-Parity Objectives in Simple Stochastic Games}},
  booktitle =	{48th International Symposium on Mathematical Foundations of Computer Science (MFCS 2023)},
  pages =	{38:1--38:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-292-1},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{272},
  editor =	{Leroux, J\'{e}r\^{o}me and Lombardy, Sylvain and Peleg, David},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/18572},
  URN =		{urn:nbn:de:0030-drops-185724},
  doi =		{10.4230/LIPIcs.MFCS.2023.38},
  annote =	{Keywords: Energy-Parity Games, Simple Stochastic Games, Parity, Energy}
}

Keywords: Energy-Parity Games, Simple Stochastic Games, Parity, Energy
Collection: 48th International Symposium on Mathematical Foundations of Computer Science (MFCS 2023)
Issue Date: 2023
Date of publication: 21.08.2023


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