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The Right Lesson at the Right Step: Deriving Control Updates for Self-Evolving Agents
Self-evolving agents improve future behavior by reusing past experience, typically as global prompts, memories, or reflections. Yet these mechanisms rarely control where experience takes effect. In long tool-use workflows, the same lesson may correct one decision but distract another, making experie
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