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FAST

Publication: FAST: Efficient Action Tokenization for Vision-Language-Action Models. Published Jan 16, 2025.

Research & Papers
arxiv.orgPublished Jan 16, 2025
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Overview

Publication: FAST: Efficient Action Tokenization for Vision-Language-Action Models. Published Jan 16, 2025.

Publication information

Publication title
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Authors
Karl Pertsch, Kyle Stachowicz, Brian Ichter, Danny Driess, Suraj Nair, Quan Vuong, Oier Mees, Chelsea Finn, Sergey Levine
Published
Jan 16, 2025
Last publication revision
Jan 16, 2025
Subject areas
cs.RO, cs.LG
Publication source
arxiv.org · abs/2501.09747v1 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/2501.09747 ↗

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Screenshot unavailableResource information and source links remain available. DeepIntoStreams/TSFM_Finance — reviewed source website screenshot
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github.com

the official implementation of the paper “Re(visiting) Time Series Foundation Models in Finance”.

GitHub stars
31
Language
Jupyter Notebook
Code license
Apache-2.0
foundation-modeltime-seriesresearch-lab
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