Real World Data
Pieter emphasizes the importance of collecting real-world data for solving robotics problems efficiently. Lukas questions the availability of suitable datasets, prompting Pieter to stress the need for in-distribution data for effective machine learning outcomes in practical applications.In this clip
From this podcast

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How is machine learning used in robots as discussed in the episode Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10 and the clip Learning from Feedback?
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