DART-GUI

Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation

  🌐 Website   |   📑 arXiv   |   🤖 Model (coming soon)   |   🤗 Dataset (coming soon)  

📢 Updates

• [2025-09-30] We released our paper and project page. Check it out!

🔨 TODO

• Release the model checkpoint for DART-GUI-7B.
• Add the training code and pipeline.

🤗 Team

Core Contributors

Pengxiang Li

Zechen Hu

Zirui Shang

Jingrong Wu

Advisors

Qing Li

Zhi Gao

We are looking for collaborations and GPU resources support! If you are interested in agentic RL and GUI agents, feel free to email Qing Li!

🤝 Acknowledgments

We thank the following open-source projects for making this work possible:

• verl for the excellent RL framework.
• vLLM for the fast inference engine.

We thank DataCanvas Alaya for the cloud computing and GPU support!

📝 Citation

If you find our paper and code useful in your research, please consider giving a star ⭐ and citation 📝 :)

@article{li2025dart,
  title = {Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation},
  author={Li, Pengxiang and Hu, Zechen and Shang, Zirui and Wu, Jingrong and Liu, Yang and Liu, Hui and Gao, Zhi and Shi, Chenrui and Zhang, Bofei and Zhang, Zihao and Shi, Xiaochuan and Yu, Zedong and Wu, Yuwei and Wu, Xinxiao and Jia, Yunde and Xiang, Liuyu and He, Zhaofeng and Li, Qing},
  journal={arXiv preprint arXiv:2509.23866},
  year={2025}
  url = {https://arxiv.org/abs/2509.23866}
}

🌟 Star History