Sergey Levine
Associate Professor
Info Links
Research Centers
Teaching Schedule
Fall 2023
- CS 285. Deep Reinforcement Learning, Decision Making, and Control, MoWe 17:00-18:29, Wheeler 212
Biography
Sergey Levine received a BS and MS in Computer Science from Stanford University in 2009, and a Ph.D. in Computer Science from Stanford University in 2014. He joined the faculty of the Department of Electrical Engineering and Computer Sciences at UC Berkeley in fall 2016. His work focuses on machine learning for decision making and control, with an emphasis on deep learning and reinforcement learning algorithms. Applications of his work include autonomous robots and vehicles, as well as computer vision and graphics. His research includes developing algorithms for end-to-end training of deep neural network policies that combine perception and control, scalable algorithms for inverse reinforcement learning, deep reinforcement learning algorithms, and more.
Education
- 2014, Ph.D., Computer Science, Stanford University
- 2009, B.S/M.S., Computer Science, Stanford University