Efficient Shield Synthesis via State-Space Transformation
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Abstract (arXiv)
We consider the problem of synthesizing safety strategies for control systems, also known as shields. Since the state space is infinite, shields are typically computed over a finite-state abstraction, with the most common abstraction being a rectangular grid. However, for many systems, such a grid does not align well with the safety property or the system dynamics. That is why a coarse grid is rarely sufficient, but a fine grid is typically computationally infeasible to obtain. In this paper, we show that appropriate state-space transformations can still allow to use a coarse grid at almost no computational overhead. We demonstrate in three case studies that our transformation-based synthesis outperforms a standard synthesis by several orders of magnitude. In the first two case studies, we use domain knowledge to select a suitable transformation. In the third case study, we instead report on results in engineering a transformation without domain knowledge.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 9 of its 31 references that are in the map. First posted on arXiv 29 Jul 2024.
Builds on
9 of 31 references.
References · 9
- 2017Safe Reinforcement Learning via Shieldingcited by 427
- 2018A predictive safety filter for learning-based control of constrained nonlinear dynamical systemscited by 91
- 2015Shield Synthesis: Runtime Enforcement for Reactive Systemscited by 41
- 2023Shielded Reinforcement Learning for Hybrid Systemscited by 8
- 2017Optimized State Space Grids for Abstractionscited by 2
- 2021Efficient Local Computation of Differential Bisimulations via Coupling and Up-to Methodscited by 2
- 2018Lazy Abstraction-Based Control for Safety Specificationscited by 1
- 2022State-feedback Abstractions for Optimal Control of Piecewise-affine Systemscited by 1
- 2024Dionysos.jl: a Modular Platform for Smart Symbolic Controlcited by 1
Built on by
Citing papers per year: 2024: 1; 2025: 2; 2026: 1.
4 papers.
- 2024Compositional Shielding and Reinforcement Learning for Multi-Agent Systemscited by 7
- 2026Robust Probabilistic Shielding for Safe Offline Reinforcement Learningcited by 2
- 2025Uppaal Coshy: Automatic Synthesis of Compact Shields for Hybrid Systemscited by 1
- 2025Efficient Dynamic Shielding for Parametric Safety Specificationscited by 0
- 2026Robust Probabilistic Shielding for Safe Offline Reinforcement Learning11 May 2026
- 2025Uppaal Coshy: Automatic Synthesis of Compact Shields for Hybrid Systems22 Aug 2025
- 2025Efficient Dynamic Shielding for Parametric Safety Specifications28 May 2025
- 2024Compositional Shielding and Reinforcement Learning for Multi-Agent Systems14 Oct 2024