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---
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license: mit
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---
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license: mit
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base_model:
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- Qwen/Qwen2.5-VL-3B-Instruct
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- Qwen/Qwen2.5-VL-7B-Instruct
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---
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<p align="center">
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<h1 align="center"> ScreenExplorer: Training a Vision-Language Model for Diverse Exploration in Open GUI World </h1>
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</p>
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<p align="center">
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<a href="https://arxiv.org/abs/2505.19095">
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<img src="https://img.shields.io/badge/arXiv-2505.19095-b31b1b.svg" alt="arXiv">
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</a>
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<a href="https://github.com/niuzaisheng/ScreenExplorer">
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<img src="https://img.shields.io/badge/GitHub-ScreenExplorer-blue?logo=github&link=https://github.com/niuzaisheng/ScreenExplorer" alt="GitHub">
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</a>
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</p>
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We introduce ScreenExplorer, a VLM trained via Group Relative Policy Optimization(GRPO) in real, dynamic, and open-ended GUI environments for diverse exploration. ScreenExplorer is trained to explore and interact with the screen environment, learning to interact effectively with environments based on screenshots and a fixed instruction to encourage exploration.
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This repo contains the LoRA checkpoints in the training process of `ScreenExplorer-3B-E1` and `ScreenExplorer-7B-E1`. And LoRA checkpoints of `ScreenExplorer-3B-Distill`.
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## Citation
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```bibtex
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@misc{niu2025screenexplorertrainingvisionlanguagemodel,
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title={ScreenExplorer: Training a Vision-Language Model for Diverse Exploration in Open GUI World},
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author={Runliang Niu and Jinglong Ji and Yi Chang and Qi Wang},
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year={2025},
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eprint={2505.19095},
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archivePrefix={arXiv},
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primaryClass={cs.AI},
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url={https://arxiv.org/abs/2505.19095},
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}
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```
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