Towards Robust Offline Reinforcement Learning under Diverse Data Corruption

Rui Yang, Han Zhong, Jiawei Xu +4

Offline reinforcement learning (RL) presents a promising approach for learning reinforced policies from offline datasets without the need for costly or unsafe interactions with the…