AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
4min chapter
[10] Chelsea Finn - Learning to Learn with Gradients
The Thesis Review
The Meta Learning Loss Function
The idea is that we wanted to be able to use a video of a human instead of a tele-operated demonstration to adapt. So the inner loop uses the human demonstrations while the outer loop uses the tele-operated demonstrations. We also learned this loss function which is also a neural that work that takes us input the activations and outputs the scalar value. And then we took the gradients of this loss function and used those gradients to update the parameters of the policy.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode