ABOUT ME

I’m Xuefei Li, pursuing Ph.D. in Electrical, Computer, and System Engineering at Rensselaer Polytechnic Institute. I am fortunate to be advised by Prof. Tianyi Chen.

My Background is in the area of Machine Learning, Reinforcement Learning. I also have some experience in Computer Vision and Visualization, see [Gallery].

My current research interest focuses on the theory and applications of Reinforcement Learning and Optimization.

[CV] [Github] [Gallery]

EDUCATION

• Rensselaer Polytechnic Institute, Troy, NY: Ph.D. in Electrical Engineering, 2020.9 - Now
• University of Minnesota, Twin Cities, Minneapolis, MN: M.S., Computer Science, 2018.9 - 2020.6
• Fudan University, Shanghai, China: B.S., Theoretical and Applied Mechanics, 2014.9 - 2018.7

PUBLICATION

• Communication-efficient Offline Policy Optimization from Distributed Batch Data. Han Shen, Xuefei Li, Songtao Lu, Lior Horesh, Tianyi Chen. Asilomar, Jul, 2021 Paper

• Distributed Offline Policy Optimization Over Logged Data. Han Shen, Songtao Lu, Xuefei Li, Xiaodong Cui, Tianyi Chen. ICML 2022, submitted Code

• Reinforcement Learning of Motion from Videos. Xuefei Li, Stephen J. Guy. Master’s project Paper Demo