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Lex Fridman PodcastPieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10
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Episode Details
EPISODE INFO
- Released
- December 16, 2018
- Duration
- 42m
- Channel
- Lex Fridman Podcast
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
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. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep10-sb See below for timestamps, and to give feedback, submit questions, contact Lex, etc. *CONTACT LEX:* *Feedback* - give feedback to Lex: https://lexfridman.com/survey *AMA* - submit questions, videos or call-in: https://lexfridman.com/ama *Hiring* - join our team: https://lexfridman.com/hiring *Other* - other ways to get in touch: https://lexfridman.com/contact *PODCAST LINKS:*
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SPEAKERS
Lex Fridman
hostPieter Abbeel
guest
EPISODE SUMMARY
In this episode of Lex Fridman Podcast, featuring Lex Fridman and Pieter Abbeel, Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10 explores Pieter Abbeel Explores How Learning Robots Could Become Skilled, Safe, Loving Lex Fridman and Pieter Abbeel discuss deep reinforcement learning, imitation learning, and meta-learning, focusing on how robots can acquire complex physical and social skills. They examine the interplay of hardware and software in building robots that can perform tasks like playing tennis, navigating the world, and manipulating objects. The conversation dives into why RL works despite sparse rewards, how hierarchical and meta-learning might enable long-horizon reasoning and transfer, and how simulation can accelerate real-world robotics. They close by reflecting on AI safety, human–robot interaction, and whether RL-trained systems could one day exhibit kindness or even love toward humans.
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