Evolving Agents in the Dark: Retrospective Harness Optimization via Self-Preference
arXiv:2606.05922v3 Announce Type: replace-cross Abstract: AI agents rely on a harness of skills, tools, and workflows to solve complex problems. Continually improving this harness is essential for adapting to new tasks. However, existing optimization methods typically require ground-truth…