Sergey Levine

Sergey Levine is an associate professor in the Department of Electrical Engineering and Computer Sciences at UC Berkeley, where he leads a research group at the intersection of robotics, machine learning, and control. He is best known for his foundational work in deep reinforcement learning, including algorithms such as soft actor-critic, model-agnostic meta-learning, and guided policy search, as well as end-to-end training of deep neural network policies that map high-dimensional sensory inputs directly to robot actions. He is also a co-founder of the company Physical Intelligence. He received his BS, MS, and PhD in Computer Science from Stanford University and was a postdoctoral researcher with Pieter Abbeel at UC Berkeley before joining the Berkeley faculty in 2016.