The authors built an iterative system around banks of procedural skills and multimodal practice data.
Visual agents improve by jointly evolving reusable skills and practice data
V-Gym turns execution trajectories into validated procedural guidance and targeted multimodal exercises, creating a feedback loop for continual refinement.
Research Lab
Bei Yan · Yuecong Min · Jie Zhang · Junqi Yang · Shiguang Shan · Xilin Chen
State Key Laboratory of AI Safety · Institute of Computing TechnologyChinese Academy of Sciences · University of Chinese Academy of Sciences
Research Digest··2 min read
Yan et al.
Why this paper
From Institute of Computing TechnologyChinese Academy of Sciences and 2 others
In one line
V-Gym co-evolves procedural skills and multimodal practice data from agent execution trajectories for continual self-improvement.
What we could check
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