J. Brahmanage

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...