adaptive learning 1continuous control 1distributional safety 1safe reinforcement learning 1Stein discrepancy 1tail risk 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
SteinGate: Tail-Sensitive Safe Reinforcement Learning via Stein Discrepancy
Yassine Chemingui, Chenhua Fan, Honghao Wei +1
SteinGate introduces a distributional safety certificate based on Kernelized Stein Discrepancy to detect rare, high-cost tail events in reinforcement learning and dynamically switc…
cs.LG2025
Online Optimization for Offline Safe Reinforcement Learning
Yassine Chemingui, Aryan Deshwal, Alan Fern +2
We study the problem of Offline Safe Reinforcement Learning (OSRL), where the goal is to learn a reward-maximizing policy from fixed data under a cumulative cost constraint. We pro…
cs.LG2025
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
Yassine Chemingui, Aryan Deshwal, Honghao Wei +2
Offline safe reinforcement learning (OSRL) involves learning a decision-making policy to maximize rewards from a fixed batch of training data to satisfy pre-defined safety constrai…