Patience in Learning
The discussion highlights the need for patience in training robots, drawing parallels to child development. Both Chelsea and Stephen emphasize that current reinforcement learning algorithms often require frequent human intervention, which can hinder progress. They advocate for greater autonomy in robots and stress the importance of reusing and sharing previously collected data to accelerate advancements in the field.In this clip
From this podcast
The Robot Brains Podcast
S3 E2 Stanford Prof Chelsea Finn: How to build AI that can keep up with an always changing world
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