arXiv cs.LG
· Papers
SteinGate: Tail-Sensitive Safe Reinforcement Learning via Stein Discrepancy
arXiv:2607.13175v1 Announce Type: new 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 distributional safety ce