Dr. Sergey Levine

Biography

Sergey Levine received his Bachelor of Science and Master of Science degrees in Computer Science from Stanford University in 2009 and completed his Ph.D. in Computer Science at Stanford University in 2014. He joined the faculty of the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley in the fall of 2016. His research focuses on machine learning, decision making, and control, with an emphasis on deep learning and reinforcement learning algorithms. His work includes applications involving autonomous robots and vehicles, as well as computer vision and graphics. Sergey is working on developing algorithms for end-to-end training of deep neural network policies that combine perception and control, scalable algorithms for inverse reinforcement learning, and innovations in deep reinforcement learning.

Research Interests

Courses