arxiv
PublishedOctober 19, 2026 at 4:00 AM
RECREG: Recovery-based Shielding for Regular Safety Properties in Reinforcement Learning
Publisher summary· verbatim
arXiv:2610.23445v1 Announce Type: cross Abstract: In many real-world scenarios we need to consider formal requirements, such as safety and constraint compliance, to deploy Reinforcement Learning (RL) agents. In this paper we introduce RecReg, a safe RL framework capable of enforcing non-Markovian re
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Originally published on arxiv ↗