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Paper · arXiv

Shields to Guarantee Probabilistic Safety in MDPs

Shielding is a prominent model-based technique to ensure safety of autonomous agents. Classical shielding aims to ensure that nothing bad ever happens and comes with strong guarantees about safety and maximal permissiveness. However, shielding systems for probabilistic safety, where something bad is allowed to happen with an acceptable probability, has proven to be more intricate. This paper presents a formal framework that conservatively extends classical shields to probabilistic safety. In this framework, we (i) demonstrate the impossibility of preserving the strong guarantees on safety and permissiveness, (ii) provide natural shields with weaker guarantees, and (iii) introduce offline ...

AuthorsLinus Heck, Filip Macák, Roman Andriushchenko et al.
Primary categorycs.LO
Published11 May 2026
Last updated at source13 May 2026
cs.LOcs.AI
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