mlsanityData to 14 Oct 2026

Uppaal Coshy: Automatic Synthesis of Compact Shields for Hybrid Systems

arXiv 2508.16345 ↗First posted 22 Aug 2025cs.LO cs.AI cs.LGcited by 1

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Abstract (arXiv)

We present Uppaal Coshy, a tool for automatic synthesis of a safety strategy -- or shield -- for Markov decision processes over continuous state spaces and complex hybrid dynamics. The general methodology is to partition the state space and then solve a two-player safety game, which entails a number of algorithmically hard problems such as reachability for hybrid systems. The general philosophy of Uppaal Coshy is to approximate hard-to-obtain solutions using simulations. Our implementation is fully automatic and supports the expressive formalism of Uppaal models, which encompass stochastic hybrid automata. The precision of our partition-based approach benefits from using finer grids, which however are not efficient to store. We include an algorithm called Caap to efficiently compute a compact representation of a shield in the form of a decision tree, which yields significant reductions.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 9 of its 22 references that are in the map. First posted on arXiv 22 Aug 2025.

Builds on

9 of 22 references.

References · 9

  1. 2017Safe Reinforcement Learning via Shieldingcited by 449
  2. 2018Techniques for Interpretable Machine Learningcited by 238
  3. 2020MurTree: Optimal Classification Trees via Dynamic Programming and Searchcited by 63
  4. 2021dtControl 2.0: Explainable Strategy Representation via Decision Tree Learning Steered by Expertscited by 14
  5. 2021TEMPEST -- Synthesis Tool for Reactive Systems and Shields in Probabilistic Environmentscited by 13
  6. 2020dtControl: Decision Tree Learning Algorithms for Controller Representationcited by 12
  7. 2023Shielded Reinforcement Learning for Hybrid Systemscited by 8
  8. 2024Efficient Shield Synthesis via State-Space Transformationcited by 4
  9. 2024In Search of Trees: Decision-Tree Policy Synthesis for Black-Box Systems via Searchcited by 1

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