| 2024 | COLT | Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract). | Yan Dai, Qiwen Cui, Simon S. Du |
| 2024 | ICLR | A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning. | Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du |
| 2024 | ICLR | Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning. | Zhaoyi Zhou, Chuning Zhu, Runlong Zhou, Qiwen Cui, Abhishek Gupta, Simon Shaolei Du |
| 2023 | COLT | Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation. | Qiwen Cui, Kaiqing Zhang, Simon S. Du |
| 2023 | ICLR | Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement. | Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du |
| 2021 | ICML | Randomized Exploration in Reinforcement Learning with General Value Function Approximation. | Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin Yang |
| 2021 | UAI | Minimax sample complexity for turn-based stochastic game. | Qiwen Cui, Lin F. Yang |