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‎README.md‎

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## Overview
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This repository contains the training code for our research on **Learning Vision-based Agile Flight via Differentiable Physics**.
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This repository contains the training code for our research on **Learning Vision-based Agile Flight via Differentiable Physics**. If using this repository, please cite our work
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```
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@misc{zhang2024newtonslawslearningvisionbased,
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title={Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics},
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author={Yuang Zhang and Yu Hu and Yunlong Song and Danping Zou and Weiyao Lin},
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year={2024},
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eprint={2407.10648},
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archivePrefix={arXiv},
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primaryClass={cs.RO},
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url={https://arxiv.org/abs/2407.10648},
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}
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```
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## Environment Setup
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### Python Environment
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```
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## Evaluation
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You need to download the simulation [validation code](https://sjtueducn-my.sharepoint.com/:f:/g/personal/zyayoung_sjtu_edu_cn/EjDy1kFC585No8ieIcTyMcABlTxtYFJFi7WQbubki6t9sA?e=G5KO6E).
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To evaluate the trained model in multi-agent settings, use the following command to launch the simulator:
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```bash
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cd <path to multi agent code supplementary>

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