Generally Intelligent cover image

Episode 28: Sergey Levine, UC Berkeley, on the bottlenecks to generalization in reinforcement learning, why simulation is doomed to succeed, and how to pick good research problems

Generally Intelligent

00:00

Is There a Future in Robotic Learning?

In the long run, I think it'll be much easier to use data rather than simulation to enable robots to do things. In NLP or computer vision, nobody in NLP thinks about coding up a simulator to simulate how people produce language. So get humans to perform some tasks, maybe a robotic task or maybe another booking flights from the Internet and then basically do a really good job of emulating behavior. That would be very good to leverage if you're starting a company right now. But if you want highly effective AI systems, I think we need to go beyond that. It harkens back to an earlier quote by Rodney Brooks said imitation is doomed to succeed. He said something like

Transcript
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner
Get the app