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.ICALP.2021.137
URN: urn:nbn:de:0030-drops-142066
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/14206/
Go to the corresponding LIPIcs Volume Portal

Monmege, Benjamin ; Parreaux, Julie ; Reynier, Pierre-Alain

Playing Stochastically in Weighted Timed Games to Emulate Memory

pdf-format:
LIPIcs-ICALP-2021-137.pdf (0.8 MB)

Abstract

Weighted timed games are two-player zero-sum games played in a timed automaton equipped with integer weights. We consider optimal reachability objectives, in which one of the players, that we call Min, wants to reach a target location while minimising the cumulated weight. While knowing if Min has a strategy to guarantee a value lower than a given threshold is known to be undecidable (with two or more clocks), several conditions, one of them being the divergence, have been given to recover decidability. In such weighted timed games (like in untimed weighted games in the presence of negative weights), Min may need finite memory to play (close to) optimally. This is thus tempting to try to emulate this finite memory with other strategic capabilities. In this work, we allow the players to use stochastic decisions, both in the choice of transitions and of timing delays. We give for the first time a definition of the expected value in weighted timed games, overcoming several theoretical challenges. We then show that, in divergent weighted timed games, the stochastic value is indeed equal to the classical (deterministic) value, thus proving that Min can guarantee the same value while only using stochastic choices, and no memory.

BibTeX - Entry

@InProceedings{monmege_et_al:LIPIcs.ICALP.2021.137,
  author =	{Monmege, Benjamin and Parreaux, Julie and Reynier, Pierre-Alain},
  title =	{{Playing Stochastically in Weighted Timed Games to Emulate Memory}},
  booktitle =	{48th International Colloquium on Automata, Languages, and Programming (ICALP 2021)},
  pages =	{137:1--137:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-195-5},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{198},
  editor =	{Bansal, Nikhil and Merelli, Emanuela and Worrell, James},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/14206},
  URN =		{urn:nbn:de:0030-drops-142066},
  doi =		{10.4230/LIPIcs.ICALP.2021.137},
  annote =	{Keywords: Weighted timed games, Algorithmic game theory, Randomisation}
}

Keywords: Weighted timed games, Algorithmic game theory, Randomisation
Collection: 48th International Colloquium on Automata, Languages, and Programming (ICALP 2021)
Issue Date: 2021
Date of publication: 02.07.2021

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI