Update README.md
Browse files
README.md
CHANGED
@@ -9,4 +9,17 @@ Pretrained models for Make-An-Agent. See https://github.com/cheryyunl/Make-An-Ag
|
|
9 |
|
10 |
`autoencoder.pt` and `behavior_embedding.pt` are trained with parameter data and trajectory data in `train_data/data.pt` of our dataset.
|
11 |
|
12 |
-
`model-best.pt` is the policy generator model trained by latent parameter representation data and behavior embedding data in `train_data/process_data.pt`
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
9 |
|
10 |
`autoencoder.pt` and `behavior_embedding.pt` are trained with parameter data and trajectory data in `train_data/data.pt` of our dataset.
|
11 |
|
12 |
+
`model-best.pt` is the policy generator model trained by latent parameter representation data and behavior embedding data in `train_data/process_data.pt`
|
13 |
+
|
14 |
+
## 📝 Citation
|
15 |
+
|
16 |
+
If you find our model or dataset useful, please consider citing as follows:
|
17 |
+
|
18 |
+
```
|
19 |
+
@article{liang2024make,
|
20 |
+
title={Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion},
|
21 |
+
author={Liang, Yongyuan and Xu, Tingqiang and Hu, Kaizhe and Jiang, Guangqi and Huang, Furong and Xu, Huazhe},
|
22 |
+
journal={arXiv preprint arXiv:2407.10973},
|
23 |
+
year={2024}
|
24 |
+
}
|
25 |
+
```
|