Tag
The paper introduces Auto-Diagnosis and Skill Discovery (ADSD), a framework that teaches AI agents to diagnose why numerical solvers perform poorly and then discover reusable solver skills, achieving up to 71x error reduction on power flow benchmarks and transferring to unseen grid topologies.