arXiv paper introduces SteinGate, a safe reinforcement learning method using Stein Discrepancy to address tail events
Read the original at arxiv.org→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....
Original headline: "SteinGate: Tail-Sensitive Safe Reinforcement Learning via Stein Discrepancy"