🦾 Heterogenous Pre-trained Transformers
Lirui Wang, Xinlei Chen, Jialiang Zhao, Kaiming He
Neural Information Processing Systems (Spotlight), 2024
Paper: https://huggingface.co/papers/2409.20537
You can find more details on our project page. An alternative clean implementation of HPT in Hugging Face can also be found here.
TL;DR: HPT aligns different embodiment to a shared latent space and investigates the scaling behaviors in policy learning. Put a scalable transformer in the middle of your policy and don’t train from scratch!
If you find HPT useful in your research, please consider citing:
@inproceedings{wang2024hpt,
author = {Lirui Wang, Xinlei Chen, Jialiang Zhao, Kaiming He},
title = {Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers},
booktitle = {Neurips},
year = {2024}
}
Contact
If you have any questions, feel free to contact me through email (liruiw@mit.edu). Enjoy!