|
--- |
|
license: apache-2.0 |
|
pipeline_tag: reinforcement-learning |
|
datasets: |
|
- cheryyunl/Make-An-Agent |
|
--- |
|
|
|
Pretrained models for Make-An-Agent. See https://github.com/cheryyunl/Make-An-Agent for usage instructions. |
|
|
|
`autoencoder.pt` and `behavior_embedding.pt` are trained with parameter data and trajectory data in `train_data/data.pt` of our dataset. |
|
|
|
`model-best.pt` is the policy generator model trained by latent parameter representation data and behavior embedding data in `train_data/process_data.pt` |
|
|
|
## 📝 Citation |
|
|
|
If you find our model or dataset useful, please consider citing as follows: |
|
|
|
``` |
|
@article{liang2024make, |
|
title={Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion}, |
|
author={Liang, Yongyuan and Xu, Tingqiang and Hu, Kaizhe and Jiang, Guangqi and Huang, Furong and Xu, Huazhe}, |
|
journal={arXiv preprint arXiv:2407.10973}, |
|
year={2024} |
|
} |
|
``` |
