STO-RL: Offline RL under Sparse Rewards via LLM-Guided Subgoal Temporal Order

Chengyang Gu, Yuxin Pan, Hui Xiong +1

Offline reinforcement learning (RL) enables policy learning from pre-collected datasets, avoiding costly and risky online interactions, but it often struggles with long-horizon tas…