This repository contains the LAWAM SFT checkpoint for LIBERO experiments, presented in the paper
LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies.
The LIBERO training data used for this checkpoint is derived from
IPEC-COMMUNITY/libero-benchmark-dataset.
Compared with the public LIBERO benchmark datasets, our processed version has the following differences:
1@misc{chen2026lawam,
2 title = {LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies},
3 author = {Chen, Jialei and Wang, Kai and Chen, Kang and Chen, Shuaihang and Gao, Feng and Tang, Wenhao and Li, Zhiyuan Ext, Weilin and Yao, Zhuyu and Li, Boxun and Yuanbo, Xu and Yu, Chao},
4 journal = {arXiv preprint arXiv:2606.15768},
5 year = {2026},
6 archiveprefix = {arXiv},
7 primaryclass = {cs.RO},
8}
