Season 2 Ep. 1 Sergey Levine explains the challenges of real world robotics

In Episode One of Season Two, Host Pieter Abbeel is joined by guest (and close collaborator) Sergey Levine, professor at UC Berkeley, EECS. Sergey discusses the early years of his career, how Andrew Ng influenced him to become interested in machine learning, his current projects, and his lab’s recent accomplishments. The conversation concludes with Sergey’s view on the dangers of machines not being intelligent enough and his advice for students seeking a career in robotic. What’s in this episode: 00:00:00 Introduction 00:02:07 Sergey’s PhD work 00:04:55 Andrew Ng’s influence 00:05:46 Defining supervised learning and reinforcement learning (RL) 00:10:03 Sergey’s predictions for RL in the future 00:11:29 Sergey’s switch from graphics to robotics 00:13:58 Robots learning in the real world and Sergey’s current research 00:32:48 How to keep collecting useful data 00:43:31 Offline model-based optimization 00:47:12 The concept of singularity 00:54:10 Managing AI responsibly Links: Sergey’s Twitter: https://t