Distributionally Robust Q-Learning. - Zijian Liu 003; Qinxun Bai; Jose H. Blanchet; Perry Dong; Wei Xu 017; Zhengqing Zhou; Zhengyuan Zhou (ICML, 2022)

Society of Agents: Regret Bounds of Concurrent Thompson Sampling. - Yan Chen; Perry Dong; Qinxun Bai; Maria Dimakopoulou; Wei Xu 017; Zhengyuan Zhou (NeurIPS, 2022)

Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning. - Jianlan Luo; Perry Dong; Jeffrey Wu; Aviral Kumar; Xinyang Geng; Sergey Levine (CoRL, 2023)

Near-Optimal High-Probability Convergence for Non-Convex Stochastic Optimization with Variance Reduction. - Zijian Liu 003; Perry Dong; Srikanth Jagabathula; Zhengyuan Zhou (CoRR, 2023)

RLIF: Interactive Imitation Learning as Reinforcement Learning. - Jianlan Luo; Perry Dong; Yuexiang Zhai; Yi Ma 001; Sergey Levine (ICLR, 2024)

Adaptively Learning to Select-Rank in Online Platforms. - Jingyuan Wang; Perry Dong; Ying Jin; Ruohan Zhan; Zhengyuan Zhou (ICML, 2024)

What Matters for Batch Online Reinforcement Learning in Robotics? - Perry Dong; Suvir Mirchandani; Dorsa Sadigh; Chelsea Finn (CoRR, 2025)

Reinforcement Learning via Implicit Imitation Guidance. - Perry Dong; Alec M. Lessing; Annie S. Chen; Chelsea Finn (CoRR, 2025)

EXPO: Stable Reinforcement Learning with Expressive Policies. - Perry Dong; Qiyang Li; Dorsa Sadigh; Chelsea Finn (CoRR, 2025)