Chen, Zaiwei

12 publications

AISTATS 2025 Approximate Global Convergence of Independent Learning in Multi-Agent Systems Ruiyang Jin, Zaiwei Chen, Yiheng Lin, Jie Song, Adam Wierman

NeurIPS 2025 Maximizing the Value of Predictions in Control: Accuracy Is Not Enough Yiheng Lin, Christopher Yeh, Zaiwei Chen, Adam Wierman

NeurIPS 2025 Non-Asymptotic Guarantees for Average-Reward Q-Learning with Adaptive Stepsizes Zaiwei Chen

ICML 2025 Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization Chenbei Lu, Laixi Shi, Zaiwei Chen, Chenye Wu, Adam Wierman

NeurIPS 2025 Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach Chenbei Lu, Zaiwei Chen, Tongxin Li, Chenye Wu, Adam Wierman

NeurIPS 2024 Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities Zaiwei Chen, Eric Mazumdar

NeurIPS 2023 A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman Ozdaglar, Adam Wierman

UAI 2023 Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman

AISTATS 2022 Sample Complexity of Policy-Based Methods Under Off-Policy Sampling and Linear Function Approximation Zaiwei Chen, Siva Theja Maguluri

ICML 2021 Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm Sajad Khodadadian, Zaiwei Chen, Siva Theja Maguluri

NeurIPS 2021 Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam

NeurIPS 2020 Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam