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README.md
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---
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license: mit
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tags:
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- reinforcement-learning
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- robotics
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- aerial-navigation
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- object-goal-navigation
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- quadrotor
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pipeline_tag: reinforcement-learning
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---
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# AION: Aerial Indoor Object-Goal Navigation Using Dual-Policy Reinforcement Learning
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## Files
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| Checkpoint | Description |
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|------------|-------------|
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| `AION-g.pt` | Goal-reaching model |
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| `AION-e.pt` | Exploration model |
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## Usage
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```python
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from huggingface_hub import hf_hub_download
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checkpoint = hf_hub_download(
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repo_id="ZichenYan/AION",
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filename="AION-g.pt"
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)
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# load the checkpoint into your policy network
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```
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## Citation
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```bibtex
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@article{yan2026aion,
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title={AION: Aerial Indoor Object-Goal Navigation Using Dual-Policy Reinforcement Learning},
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author={Yan, Zichen and Hou, Yuchen and Wang, Shenao and Gao, Yichao and Huang, Rui and Zhao, Lin},
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journal={arXiv preprint arXiv:2601.15614},
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year={2026}
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}
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```
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## Links
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- 📄 Paper: [arXiv](https://arxiv.org/abs/2601.15614)
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- 💻 Code: [GitHub](https://github.com/Zichen-Yan/AION)
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