I am an Assistant Professor in the Computer Science department at the University of Virginia. Before, I was a Postdoctoral Associate at MIT working with Prof. Alexander (Sasha) Rakhlin, and a Research Fellow at the Simons Institute for the Theory of Computing. I obtained my Ph.D. in Computer Science from the University of Southern California, where I was fortunate to be advised by Prof. Haipeng Luo, and received my Master’s and Bachelor’s degrees in Electrical Engineering from National Taiwan University. Please find my CV here.

Email: chenyu.wei@virginia.edu
Office: Rice Hall 409

Research

I am broadly interested in the field of interactive machine learning. My work is centered around the following topics:

• Robust and adaptive learning algorithms for non-stationary or adversarial environments;
• Sample-efficient reinforcement learning algorithms with strategic exploration;
• Decentralized multi-agent learning algorithms with efficient communication and coordination.

I am actively seeking collaborative opportunities, particularly those with a strong potential for practical application.

I co-organize and attend RL Meetup and Theory Seminar at UVA.

Teaching

• Fall 2025:   CS 6771 Reinforcement Learning
• Spring 2025:   CS 6501 Reinforcement Learning
• Fall 2024:   CS 4710 Artificial Intelligence
• Spring 2024:   CS 6501 Reinforcement Learning
• Spring 2024:   CS 4501 Introduction to Algorithmic Economics (co-teaching with Prof. Denis Nekipelov)

Research Group Members

• Haolin Liu (PhD student, Spring 2023-)
• Braham Snyder (PhD student, Fall 2024-)
• Kingsley Kim (Undergraduate student, Spring 2024-)
• Rishik Balerao (Undergraduate student, Summer 2024-)

Alumni

• Yufeng Gao (PhD student, Fall 2023; now continuing PhD at UVA)
• Clarence Chen (Undergraduate student, Fall 2023-Fall 2024; joining MSCF at CMU)