#108 – Sergey Levine: Robotics and Machine Learning
July 14, 2020
1 hr 37 min
108
Full
105 of 498
Episode 108 · July 14, 2020
#108 – Sergey Levine: Robotics and Machine Learning
0:00 / 1:37:59
Excerpt playback isn’t available for this episode — use the full-episode link.
Search the Record
Moment search isn’t open for this episode yet
When it opens, you’ll be able to type any phrase and jump straight to the second it was said.
Manolis Kellis Episodes Around July 14, 2020
Episode 105 of 498 — walk the feed in the order it was published.
#92 – Harry Cliff: Particle Physics and the Large Hadron Collider
#108 – Sergey Levine: Robotics and Machine Learning
Summary
<p>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.</p>
<p>Support this podcast by supporting these sponsors:<br />
– ExpressVPN: <a href="https://www.expressvpn.com/lexpod">https://www.expressvpn.com/lexpod</a><br />
– Cash App – use code “LexPodcast” and download:<br />
– Cash App (App Store): <a href="https://apple.co/2sPrUHe">https://apple.co/2sPrUHe</a><br />
– Cash App (Google Play): <a href="https://bit.ly/2MlvP5w">https://bit.ly/2MlvP5w</a></p>
<p>If you would like to get more information about this podcast go to <a href="https://lexfridman.com/ai">https://lexfridman.com/ai</a> or connect with @lexfridman on <a href="https://twitter.com/lexfridman">Twitter</a>, <a href="https://www.linkedin.com/in/lexfridman/">LinkedIn</a>, <a href="https://www.facebook.com/lexfridman">Facebook</a>, <a href="https://medium.com/@lexfridman">Medium</a>, or <a href="https://www.youtube.com/lexfridman">YouTube</a> where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on <a href="https://podcasts.apple.com/us/podcast/artificial-intelligence/id1434243584">Apple Podcasts</a>, follow on <a href="https://open.spotify.com/show/2MAi0BvDc6GTFvKFPXnkCL">Spotify</a>, or support it on <a href="https://www.patreon.com/lexfridman">Patreon</a>.</p>
<p>Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.</p>
<p>OUTLINE:<br />
00:00 – Introduction<br />
03:05 – State-of-the-art robots vs humans<br />
16:13 – Robotics may help us understand intelligence<br />
22:49 – End-to-end learning in robotics<br />
27:01 – Canonical problem in robotics<br />
31:44 – Commonsense reasoning in robotics<br />
34:41 – Can we solve robotics through learning?<br />
44:55 – What is reinforcement learning?<br />
1:06:36 – Tesla Autopilot<br />
1:08:15 – Simulation in reinforcement learning<br />
1:13:46 – Can we learn gravity from data?<br />
1:16:03 – Self-play<br />
1:17:39 – Reward functions<br />
1:27:01 – Bitter lesson by Rich Sutton<br />
1:32:13 – Advice for students interesting in AI<br />