PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning
Paper • 2606.21139 • Published • 13
How to use quiet-storm/polar-bridge-vla with Transformers:
# Load model directly
from transformers import OpenVLAForActionPrediction
model = OpenVLAForActionPrediction.from_pretrained("quiet-storm/polar-bridge-vla", device_map="auto")BridgeData V2 latent VLA checkpoint for PoLAR, as presented in the paper PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning.
hyperbolic_factorized_radprog53210This repository keeps the Hugging Face model snapshot filenames intact so it can be loaded by the PoLAR evaluation code.
@misc{jeong2026polar,
title = {PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning},
author = {Jeong, Youngjoon and Yu, Jihwan and Jo, Minsoo and Chun, Junha and Kim, Taesup},
year = {2026},
eprint = {2606.21139},
archivePrefix = {arXiv}
}