Reinforcement Learning

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

πŸ“ Citation

If you find our model or dataset useful, please consider citing as follows:

Cite arxiv.org/abs/2407.10973

@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}
}
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Dataset used to train cheryyunl/Make-An-Agent