End-To-End Learning in Robotics | Sergey Levine and Lex Fridman 

Full episode with Sergey Levine (Jul 2020): • Sergey Levine: Robotic...
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Sergey Levine is a professor at Berkeley and a world-class researcher 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, scalable algorithms for inverse reinforcement learning, and deep RL algorithms.
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