| 2026 | SIGMETRICS | A Minimal-Assumption Analysis of Q-Learning with Time-Varying Policies. | Phalguni Nanda, Zaiwei Chen |
| 2025 | AISTATS | Approximate Global Convergence of Independent Learning in Multi-Agent Systems. | Ruiyang Jin, Zaiwei Chen, Yiheng Lin, Jie Song, Adam Wierman |
| 2025 | ICML | Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization. | Chenbei Lu, Laixi Shi, Zaiwei Chen, Chenye Wu, Adam Wierman |
| 2023 | UAI | Convergence rates for localized actor-critic in networked Markov potential games. | Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman |
| 2023 | SIGMETRICS | Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. | Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman |
| 2022 | AISTATS | Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation. | Zaiwei Chen, Siva Theja Maguluri |
| 2022 | SIGMETRICS | Stationary Behavior of Constant Stepsize SGD Type Algorithms: An Asymptotic Characterization. | Zaiwei Chen, Shancong Mou, Siva Theja Maguluri |
| 2021 | ICML | Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm. | Sajad Khodadadian, Zaiwei Chen, Siva Theja Maguluri |