On gap-dependent bounds for offline reinforcement learning
Published in Journal 1, 2022
This paper presents a systematic study on gap-dependent sample complexity in offline reinforcement learning.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). https://proceedings.neurips.cc/paper_files/paper/2022/hash/5f5f7b6080dcadced61cf5d96f7c6dde-Abstract-Conference.html