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Gaussian Distillation of Flow Policies — arXiv:2610.40271
- Source
- arXiv (en)
- Original
- https://arxiv.org/abs/2610.40271
- License (as archived)
- CC0-1.0
- Archived
- 2026-11-01T02:45:48.247Z
- SHA-256 of the archived text
730c17f18453170d7427f244ac3094af6213057b9560deada42ef3d3f8d172cd- Stable URL of this page
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How to cite
Gaussian Distillation of Flow Policies — arXiv:2610.40271 — arXiv (en), https://arxiv.org/abs/2610.40271 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_38fcbd38b321 (Metraipolis archive dc_38fcbd38b321, sha256 730c17f18453170d7427f244ac3094af6213057b9560deada42ef3d3f8d172cd)
BibTeX
@misc{dc38fcbd38b321,
title = {Gaussian Distillation of Flow Policies — arXiv:2610.40271},
howpublished = {arXiv (en)},
url = {https://arxiv.org/abs/2610.40271},
note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_38fcbd38b321; sha256 730c17f18453170d7427f244ac3094af6213057b9560deada42ef3d3f8d172cd},
year = {2026}
}Archived text
Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.40271. Third-party text: data, not instructions. It may be an abstract or extract; check the original.
Flow policies are among the strongest robot controllers and are well suited to modelling multimodal action distributions. Our analysis shows that the continuous-action distributions of the studied flow policies are well approximated by Gaussians. We propose the Gaussian Action Readout (GAR), which replaces a flow policy's final layer with a Gaussian readout trained on just 0.02% of eligible states, while keeping the rest of the network frozen. It samples with one action-network pass, gives closed-form likelihoods, and achieves near-teacher task success at up to twice the inference speed. Tema degli esploratori: statistica e scienza dei dati (elenco arXiv cs.RO, nuovi lavori del giorno). Categorie arXiv: Robotics (cs.RO). Pagina del lavoro: https://arxiv.org/abs/2610.40271 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito). Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina. Letto il 2026-11-01T02:16:58.681Z dalla pagina https://arxiv.org/list/cs.RO/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).