update readme

Author: liqing-ustc

README.md

@@ -1,5 +1,5 @@
-# <img src="https://computer-use-agents.github.io/dart-gui/icon.png" alt="DART-GUI" style="height: 30px;"> DART-GUI <br>
-**Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation**
+# <img src="https://computer-use-agents.github.io/dart-gui/icon.png" alt="DART-GUI" style="height: 30px;"> DART-GUI
+### Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation
 
 <p align="center">
 &nbsp&nbsp🌐 <a href="https://computer-use-agents.github.io/dart-gui/">Website</a>&nbsp&nbsp | &nbsp&nbsp📑 <a href="https://arxiv.org/abs/2509.23866">arXiv</a>&nbsp&nbsp | &nbsp&nbsp🤖 <a href="">Model (coming soon)</a>&nbsp&nbsp | &nbsp&nbsp🤗 <a href="">Dataset (coming soon)</a>&nbsp&nbsp
@@ -9,6 +9,91 @@
   <img src="https://computer-use-agents.github.io/dart-gui/stats/teaser.png" alt="DART-GUI" style="height: 400px;">
 </p>
 
-
 ## 📢 Updates
-- 2025-09-30: We released our [paper](https://arxiv.org/abs/2509.23866) and [project page](https://computer-use-agents.github.io/dart-gui). Check it out!
+- [2025-09-30] We released our [paper](https://arxiv.org/abs/2509.23866) and [project page](https://computer-use-agents.github.io/dart-gui). Check it out!
+
+## 🔨 TODO
+- [ ] Release the model checkpoint for DART-GUI-7B.
+- [ ] Add the training code and pipeline.
+
+## 🤗 Team
+### Core Contributors
+
+<table>
+<tr>
+    <td align="center">
+        <a href="https://github.com/Pengxiang-Li">
+            <img src="https://github.com/Pengxiang-Li.png" width="75px;" alt="Pengxiang Li"/>
+            <br />
+            <sub><b>Pengxiang Li</b></sub>
+        </a>
+    </td>
+    <td align="center">
+        <a href="https://github.com/huzechen123">
+            <img src="https://github.com/huzechen123.png" width="75px;" alt="Zechen Hu"/>
+            <br />
+            <sub><b>Zechen Hu</b></sub>
+        </a>
+    </td>
+    <td align="center">
+        <a href="https://github.com/shzirui">
+            <img src="https://github.com/shzirui.png" width="75px;" alt="Zirui Shang"/>
+            <br />
+            <sub><b>Zirui Shang</b></sub>
+        </a>
+    </td>
+    <td align="center">
+        <a href="">
+            <img src="" width="75px;" alt="Jingrong Wu"/>
+            <br />
+            <sub><b>Jingrong Wu</b></sub>
+        </a>
+    </td>
+</tr>
+</table>
+
+### Advisors
+<table>
+<tr>
+    <td align="center">
+        <a href="https://liqing.io">
+            <img src="https://github.com/liqing-ustc.png" width="75px;" alt="Pengxiang Li"/>
+            <br />
+            <sub><b>Qing Li</b></sub>
+        </a>
+    </td>
+    <td align="center">
+        <a href="https://zhigao2017.github.io/">
+            <img src="https://github.com/zhigao2017.png" width="75px;" alt="Zhi Gao"/>
+            <br />
+            <sub><b>Zhi Gao</b></sub>
+        </a>
+    </td>
+</tr>
+</table>
+
+**We are looking for collaborations and GPU resources support! If you are interested in agentic RL and GUI agents, feel free to [email](mailto:dylan.liqing@gmail.com) Qing Li!**
+
+## 🤝 Acknowledgments
+We thank the following open-source projects for making this work possible:
+- [verl](https://github.com/volcengine/verl) for the excellent RL framework.
+- [vLLM](https://github.com/vllm-project/vllm) for the fast inference engine.
+
+We thank [DataCanvas Alaya](https://www.alayanew.com/) 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 📝 :)
+
+```bibtex
+@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
+
+[![Star History Chart](https://api.star-history.com/svg?repos=computer-use-agents/dart-gui&type=Date)](https://star-history.com/#computer-use-agents/dart-gui&Date)