Reinforcement Learning
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@@ -9,4 +9,17 @@ Pretrained models for Make-An-Agent. See https://github.com/cheryyunl/Make-An-Ag
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  `autoencoder.pt` and `behavior_embedding.pt` are trained with parameter data and trajectory data in `train_data/data.pt` of our dataset.
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- `model-best.pt` is the policy generator model trained by latent parameter representation data and behavior embedding data in `train_data/process_data.pt`
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  `autoencoder.pt` and `behavior_embedding.pt` are trained with parameter data and trajectory data in `train_data/data.pt` of our dataset.
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+ `model-best.pt` is the policy generator model trained by latent parameter representation data and behavior embedding data in `train_data/process_data.pt`
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+
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+ ## 📝 Citation
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+
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+ If you find our model or dataset useful, please consider citing as follows:
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+
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+ ```
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+ @article{liang2024make,
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+ title={Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion},
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+ author={Liang, Yongyuan and Xu, Tingqiang and Hu, Kaizhe and Jiang, Guangqi and Huang, Furong and Xu, Huazhe},
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+ journal={arXiv preprint arXiv:2407.10973},
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+ year={2024}
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+ }
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+ ```