Zaiwei Chen
Zaiwei Chen
I am an Assistant Professor in the Edwardson School of Industrial Engineering at Purdue University, where I was appointed as a Solberg Academic Excellence Scholar. I am also affiliated with the Institute for Control, Optimization and Networks (ICON)
Prior to joining Purdue, I was a CMI Postdoctoral Fellow in the Department of Computing and Mathematical Sciences at the California Institute of Technology. I hold a Ph.D. in Machine Learning, an M.S. in Mathematics, and an M.S. in Operations Research from the Georgia Institute of Technology. I received my B.S. in Electrical Engineering from the Chu Kochen Honors College at Zhejiang University. Here is my CV.
I am actively recruiting motivated Ph.D. students with strong mathematical backgrounds. Prospective students are encouraged to apply to the Ph.D. program in the School of Industrial Engineering at Purdue University.
Research Interests
Reinforcement Learning
Multi-Agent Systems and Learning in Games
Stochastic Approximation
Concentration Inequalities
Recent News
I will chair an invited session (Applied Probability Society cluster) at the INFORMS Annual Meeting, October 26–29, 2025, in Atlanta, Georgia, titled “Reinforcement Learning: Theory and Algorithms.”
I will give a talk titled “Non‑asymptotic analysis of average‑reward Q‑learning with adaptive stepsizes” at ICCOPT 2025 (International Conference on Continuous Optimization), July 21–24, 2025, in Los Angeles, California.
I will jointly give a tutorial titled “Structure‑Exploiting Reinforcement Learning for Networked Systems” at ACC 2025 (American Control Conference), July 8–10, 2025, in Denver, Colorado.
I will give two talks titled “Seminorm Lyapunov Stability: From Deterministic to Stochastic Approximation Algorithms” and “Non-asymptotic Guarantees of Average-Reward Q-Learning with Adaptive Stepsizes”, and chair the poster lightning‑talk session at the INFORMS APS Conference in Atlanta (June 30 – July 3, 2025).
I will jointly give a tutorial titled “Recent Advances of Reinforcement Learning in Dynamic Games” at SIGMETRICS 2025, June 9–13, 2025, at Stony Brook University, New York.
Contact Information
Email: chen5252@purdue.edu
Office: Grissom Hall 264