Conference
Open access
Sep 2026
Persistent Safety Set Guided Offline Safe Reinforcement Learning
A framework for learning control barrier functions (CBFs) using a novel generalized Bellman operator is developed, yielding a persistent safety set from which the agent can remain safe indefinitely, and a new reward maximization algorithm is proposed that effectively exploits the learned persistent safety set for rewar...
A. Choudhury, J. Brahmanage, Akshat Kumar et al.
· Proceedings of the Thirty-Fi... · 0 citations