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hongxingli
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Model Details
Model Provider
hongxingli
Model Tree
Qwen/Qwen2.5-VL-3B-Instruct
Input Modalities
Output Modalities
Supported Functionality
ViSkill-Sokoban is a visual agent model for Sokoban, built upon Qwen2.5-VL-3B-Instruct. It represents successful interactions as reusable visual skill cards. Geometry-aware retrieval guides the agent, while PPO with skill-guided rewards and online skill distillation jointly improve the policy and skill library. Model files are stored at the repository root, with the accompanying visual skill library in skill_library/.
python
from transformers import AutoProcessor, Qwen2_5_VLForConditionalGeneration repo_id = "hongxingli/ViSkill-Sokoban" model = Qwen2_5_VLForConditionalGeneration.from_pretrained(repo_id)processor = AutoProcessor.from_pretrained(repo_id)For the full ViSkill agent pipeline, including skill retrieval and environment interaction, please refer to our code repository.
bibtex
@misc{li2026viskillreinforcingvlmagents, title={ViSkill: Reinforcing VLM Agents with Evolving Visual-Native Skills}, author={Hongxing Li and Dingming Li and Yixin Li and Yong Du and Wenqi Zhang and Weiming Lu and Jun Xiao and Yueting Zhuang and Yongliang Shen}, year={2026}, eprint={2610.12403}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2610.12403},}