Tengyang Xie

Hi! I'm a Ph.D. student in Computer Science at University of Illinois at Urbana-Champaign (UIUC), where I am fortunate to work with Nan Jiang. My research mainly focuses on reinforcement learning (RL). Currently, I am working on two "opposite" directions: batch RL (i.e. off-policy RL) -- how to learn from the exploratory data solely, and exploration in RL -- how to explore the environment efficiently. I am also interested in the intersection between theory of deep neural networks and reinforcement learning.

I am delighted to complement my research with industrial experiences. I spent a wonderful summer working as a research intern at Amazon AI Palo Alto in 2018, with Yu-Xiang Wang and Yifei Ma.

Prior to UIUC, I obtained M.S. degree from University of Massachusetts Amherst, where I was introduced to RL and working with Phil Thomas. Before that, I was an undergrad in Physics at University of Science and Technology of China (USTC).

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