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Pre-trained language models can autoregressively complete complex token sequences, including spatial patterns. These models can be applied to robotics problems, such as extrapolating sequences of numbers and prompting reward-conditioned trajectories.
https://arxiv.org/abs//2307.04721
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
Pre-trained language models can autoregressively complete complex token sequences, including spatial patterns. These models can be applied to robotics problems, such as extrapolating sequences of numbers and prompting reward-conditioned trajectories.
https://arxiv.org/abs//2307.04721
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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