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

Author Kim G. Larsen

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Author Details

Kim G. Larsen
  • Department of Computer Science, Aalborg University, DK

Funding

Kim G. Larsen is partly funded by the ERC-Project LASSO.

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Kim G. Larsen. Synthesis of Safe, Optimal and Compact Strategies for Stochastic Hybrid Games (Invited Paper). In 30th International Conference on Concurrency Theory (CONCUR 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 140, pp. 2:1-2:5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/LIPIcs.CONCUR.2019.2

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.

Subject Classification

ACM Subject Classification
  • Theory of computation → Timed and hybrid models
  • Theory of computation → Verification by model checking
  • Theory of computation → Online learning theory
  • Theory of computation → Reinforcement learning
Keywords
  • Timed automata
  • Stochastic hybrid grame
  • Symbolic synthesis
  • Reinforcement learning
  • Q-learning
  • M-learning

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References

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