Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL

1 code implementation • NeurIPS 2023 • Peng Cheng, Xianyuan Zhan, Zhihao Wu, Wenjia Zhang, Shoucheng Song, Han Wang, Youfang Lin, Li Jiang

Based on extensive experiments, we find TSRL achieves great performance on small benchmark datasets with as few as 1% of the original samples, which significantly outperforms the recent offline RL algorithms in terms of data efficiency and generalizability. Code is available at: https://github. com/pcheng2/TSRL

Data Augmentation Offline RL +1