Boundary-to-Region Supervision for Offline Safe Reinforcement Learning

Huikang Su, Dengyun Peng, Zifeng Zhuang +4

Offline safe reinforcement learning aims to learn policies that satisfy predefined safety constraints from static datasets. Existing sequence-model-based methods condition action g…