SOURCE-LINKED INTELLIGENCE
From Interaction Traces to Persistent Skills: Online Evolution for Computer-Use Agents
Computer-use agents can execute increasingly complex tasks in graphical interfaces, but their interaction experience is typically transient: procedural knowledge acquired from one rollout is not systematically retained, refined, and reused in later tasks. Existing skill libraries provide external procedural knowledge, yet their incremental value over the same agent operating without skills, as well as their longitudinal dynamics under repeated interaction, remain insufficiently characterized. We present an online skill-evolution framework that converts interaction trajectories and evaluator fe
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-04T08:29:45.000Z
First collected: 2026-09-20T22:31:48.298Z. This is not the publication date.