Hi, I am Cheng Tang, a PhD student at the Siebel School of Computing and Data Science, UIUC. My research interest currently focuses on Reinforcement Learning and Robustness, both from theoretical and empirical aspect. I hope to design algorithms that are not only practical but also with strong theoretical guarantee. I am very fortunate to work with Professor Pan Xu in Duke University and Professor Ding Zhao in Carnegie Mellon University during my undergraduate studies.

News

• [2025/09] My paper is accepted in Neurips 2025 ML×OR Workshop! Congratulations to all our collaborators! See you in San Diego!

• [2025/06] I’m thrilled to be graduating from Tsinghua University and honored to be chosen as the graduation speech representative for the School of Economics and Management!

• [2025/05] My paper about robust offline regularized RL is accepted in ICML 2025! Congratulations to all our collaborators! See you in Vancouver!

• [2024/08] I am honored to visit Carnegie Mellon University as a research intern in Safe AI lab, advised by Professor Ding Zhao!

Education

• Ph.D. in Computer Science, University of Illinois Urbana-Champaign, 2025-Present

• B.S. in Mathematics | B.Ec. in Economics and Finance, Tsinghua University, 2021-2025