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:   / svlevine  
EECS lab: http://rail.eecs.berkeley.edu/
Sergey's Website: https://people.eecs.berkeley.edu/~svl...

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Host: Pieter Abbeel
Executive Producers: Alice Patel & Henry Tobias Jones
Audio Production: Kieron Matthew Banerji
Video Production: Bo Obradovic