Model Description
ViSkill-FrozenLake is a visual agent model for FrozenLake, 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/.
Usage
from transformers import AutoProcessor, Qwen2_5_VLForConditionalGeneration repo_id = "hongxingli/ViSkill-FrozenLake" 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.
Citation