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Learning policies via imitation is extremely potent, but making sure those policies will generalize to out of distribution settings is still very hard. SAILOR proposes a solution in learning to search via a learned world model, which outperforms existing imitation approaches. Gokul Swamy, Arnav Jain , and Vibhakar Mohta... show more

RoboPapers

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21,507 Aufrufe • vor 1 Jahr •via X (Twitter)

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7 Kommentare

Profilbild von Chris Paxton

Chris Paxtonvor 1 Jahr

For links and more + email updates you can check out the substack post for this episode:

Profilbild von Ipsita Praharaj

Ipsita Praharajvor 2 Monaten

Pretty cool!!

Profilbild von Saksham Jindal

Saksham Jindalvor 1 Jahr

@arnavkj95 came a looooong way. Great work!

Profilbild von Chetan

Chetanvor 1 Jahr

I really liked this paper!

Profilbild von VinayK

VinayKvor 2 Monaten

Thanks for sharing

Profilbild von Yash Butala

Yash Butalavor 2 Monaten

Wow!

Profilbild von Vaibhav Maheshwari

Vaibhav Maheshwarivor 2 Monaten

Brilliant stuff

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