The Right Lesson at the Right Step: Deriving Control Updates for Self-Evolving Agents
Results show that self-evolving agents should place experience inside the control flow, rather than only store it as text, and show how learned conventions must reach the right execution step on long tool-use environments where learned conventions must reach the right execution step.
Yun-He Su, Zi-Yi Dong, Tong Yu et al.
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