FOSP: Fine-tuning Offline Safe Policy through World Models

Chenyang Cao, Yucheng Xin, Silang Wu +4

Offline Safe Reinforcement Learning (RL) seeks to address safety constraints by learning from static datasets and restricting exploration. However, these approaches heavily rely on…