Huazhe Xu

Ph.D. Candidate [Google Scholar] [CV]
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I am an incoming Assistant Professor at Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University in 2022.

I will be a postdoctoral researcher at Stanford Vision and Learning Lab (SVL) advised by Prof. Jiajun Wu. I obtained my Ph.D. in Berkeley AI Research (BAIR) advised by Prof. Trevor Darrell. I obtained my bachelor degree from Tsinghua University.

I support Slow Science.

Research Topics

I am interested in Reinforcement Learning, Robotics and Computer Vision. Specifically, my research focuses on modeling the dynamics of the world, leveraging/finding human priors for policy learning, and further enabling algorithms to learn in a sample-efficient manner. I am also interested in solving complex real applications with deep learning and reinforcement learning.

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