arxiv
PublishedApril 18, 2026 at 4:00 AM
—neutral
Safe Reinforcement Learning using Action Projection: Safeguard the Policy or the Environment?
Publisher summary· verbatim
arXiv:2509.12833v2 Announce Type: replace Abstract: Projection-based safety filters, which modify unsafe actions by mapping them to the closest safe alternative, are widely used to enforce safety constraints in reinforcement learning (RL). Two integration strategies are commonly considered: Safe env
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Originally published on arxiv ↗