License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.CONCUR.2019.2
URN: urn:nbn:de:0030-drops-109048
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/10904/
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Larsen, Kim G.

Synthesis of Safe, Optimal and Compact Strategies for Stochastic Hybrid Games (Invited Paper)

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Abstract

UPPAAL-Stratego is a recent branch of the verification tool UPPAAL allowing for synthesis of safe and optimal strategies for stochastic timed (hybrid) games. We describe newly developed learning methods, allowing for synthesis of significantly better strategies and with much improved convergence behaviour. Also, we describe novel use of decision trees for learning orders-of-magnitude more compact strategy representation. In both cases, the seek for optimality does not compromise safety.

BibTeX - Entry

@InProceedings{larsen:LIPIcs:2019:10904,
  author =	{Kim G. Larsen},
  title =	{{Synthesis of Safe, Optimal and Compact Strategies for Stochastic Hybrid Games (Invited Paper)}},
  booktitle =	{30th International Conference on Concurrency Theory (CONCUR 2019)},
  pages =	{2:1--2:5},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-121-4},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{140},
  editor =	{Wan Fokkink and Rob van Glabbeek},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/10904},
  URN =		{urn:nbn:de:0030-drops-109048},
  doi =		{10.4230/LIPIcs.CONCUR.2019.2},
  annote =	{Keywords: Timed automata, Stochastic hybrid grame, Symbolic synthesis, Reinforcement learning, Q-learning, M-learning}
}

Keywords: Timed automata, Stochastic hybrid grame, Symbolic synthesis, Reinforcement learning, Q-learning, M-learning
Collection: 30th International Conference on Concurrency Theory (CONCUR 2019)
Issue Date: 2019
Date of publication: 20.08.2019

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