Lex Fridman interviews Sergey Levine, a professor at Berkeley, about his research in deep learning, reinforcement learning, robotics, and computer vision, including the development of algorithms for end-to-end training of neural network policies that combine perception and control, and scalable algorithms for inverse reinforcement learning.