Hanlin Zhu

Hanlin is a Ph.D. student in the Department of Electrical Engineering and Computer Science at UC Berkeley advised by Prof. Jiantao Jiao and Prof. Stuart Russell. Previously, he graduated from Yao Class at Tsinghua University. Hanlin’s current research interests focus on machine learning theory, especially reinforcement learning theory, as well as their applications to real world problems. He is also interested in theoretical computer science and mechanism design. You can learn more about Hanlin on his website.