arxiv
PublishedJuly 16, 2026 at 4:00 AM
SteinGate: Tail-Sensitive Safe Reinforcement Learning via Stein Discrepancy
Publisher summary· verbatim
arXiv:2607.13175v1 Announce Type: cross Abstract: Safe reinforcement learning typically enforces safety by bounding expected cumulative costs, a criterion that often fails to detect rare but catastrophic tail events. To overcome these limitations, this paper introduces SteinGate, a boundary-aware di
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Originally published on arxiv ↗