Chapter
Interview with Sergey Levine
00:00 - 03:00 (03:00)
Host Lex Fridman talks to Sergey Levine, a professor at Berkeley and expert in deep learning, reinforcement learning, robotics, and computer vision. Topics include end-to-end training of neural network policies, scalable algorithms for inverse reinforcement learning, and deep RL algorithms.
Clips
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.
00:00 - 03:00 (03:00)
Deep Learning
Summary
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.