trajectory-mining

Automated Skill Mining from GUI Trajectories Shows Readability but Limited Policy Improvement

A team of researchers proposed a three-stage pipeline to automatically generate skill libraries for computer-using agents by mining interaction trajectories. While the mined clusters achieved high purity (five of eight clusters ≥0.95) against expert labels, downstream policy improvements were marginal: GRPO raised skill-step accuracy only from 18.5% to 20.5% and failed to outperform trivial frequency priors on key source-domain metrics. The study is presented as a diagnostic, underscoring that readability does not guarantee transfer.