LaWAM Checkpoints
Collection
Released checkpoints for LaWAM: latent action model, pretraining, and downstream SFT policies for LIBERO and RoboTwin. • 5 items • Updated
This directory is the minimal release package needed by LaWAM training.
This model is part of the work presented in the paper LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies.
dino_large_vae.yaml: LAM model configuration consumed by lam_yaml_path.checkpoints/pytorch_model.pt: LAM release checkpoint consumed by
lam_ckpt_path. It keeps only the state_dict needed by LaWAM training and
inference.framework:
action_model:
lam_ckpt_path: "latent_action_model/logs/dino_large_vae/lam_release/checkpoints/pytorch_model.pt"
lam_yaml_path: "latent_action_model/logs/dino_large_vae/lam_release/dino_large_vae.yaml"
@misc{chen2026lawam,
title = {LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies},
author = {Chen, Jialei and Wang, Kai and Chen, Kang and Chen, Shuaihang and Gao, Feng and Tang, Wenhao and Li, Zhiyuan and Liu, Weilin and Yao, Zhuyu and Li, Boxun and Xu, Yuanbo and Yu, Chao},
journal = {arXiv preprint arXiv:2606.15768},
year = {2026},
archiveprefix = {arXiv},
primaryclass = {cs.RO},
}