Chenjie Mao

I am a PhD student at Washington University in St. Louis, advised by Professor Chongjie Zhang. My research interests encompass a broad range of topics in learning theory, including reinforcement learning, online learning, and deep learning theory. Recently, I have focused primarily on the statistical aspects of (offline) reinforcement learning, especially its non-asymptotic behaviors and extensions to reinforcement learning with human feedback (RLHF).

Publication

1. Rethinking the Hardness of PbRL: A Provable General Regret Bound
   Chenjie Mao, Yi Fan, Ning Zhang, Chongjie Zhang
   International Conference on Machine Learning (ICML), 2026.

2. On the Role of General Function Approximation in Offline Reinforcement Learning
   Chenjie Mao, Qiaosheng Zhang, Zhen Wang, Xuelong Li
   International Conference on Learning Representations (ICLR), 2024. (Spotlight, Top 5%)

3. Offline Reinforcement Learning with Additional Covering Distributions
   Chenjie Mao
   Transactions on Machine Learning Research (TMLR)