Pieter Abbeel: Deep Reinforcement Learning

Lex Fridman Podcast

Lex Fridman

Philosophy, Society & Culture, Science, Technology

4.7 • 13K Ratings

🗓️ 16 December 2018

⏱️ 43 minutes

🔗️ Recording | iTunes | RSS

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Summary

Pieter Abbeel is a professor at UC Berkeley, director of the Berkeley Robot Learning Lab, and is one of the top researchers in the world working on how to make robots understand and interact with the world around them, especially through imitation and deep reinforcement learning. Video version is available on YouTube. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, or YouTube where you can watch the video versions of these conversations.

Transcript

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0:00.0	The following is a conversation with Peter Abiel.
0:03.0	He's a professor at UC Berkeley and the director of the Berkeley Robotics Learning Lab.
0:07.7	He's one of the top researchers in the world working on how to make robots
0:12.2	understand and interact with the world around them,
0:15.2	especially using imitation and deeper enforcement learning.
0:19.6	This conversation is part of the MIT course on artificial general intelligence
0:24.0	and the artificial intelligence podcast.
0:26.3	If you enjoy it, please subscribe on YouTube, iTunes,
0:29.8	or your podcast provider's choice, or simply connect with me on Twitter at Lex Friedman.
0:34.8	It's spelled F-R-I-D.
0:36.8	And now, here's my conversation with Peter Abiel.
0:57.2	You've mentioned that if there was one person you could meet,
1:01.3	it would be Roger Federer.
1:02.9	So let me ask, when do you think we'll have a robot that fully autonomously can beat
1:08.6	Roger Federer at tennis?
1:11.0	At Roger Federer level player at tennis?
1:13.6	Huh, well, first, if you can make it happen for me to meet Roger, let me know.
1:19.2	I'm doing this with getting a robot to beat him at tennis.
1:24.1	It's kind of an interesting question, because for a lot of the challenges we think about in AI,
1:31.2	the software is really the missing piece, but for something like this,
1:35.3	the hardware is nowhere near either.
1:39.3	To really have a robot that can physically run around, the Boston Dynamics robots are starting
	...

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