Your Self-Improving Agent Is Probably Overfitting, Researchers Warn
HuaxiuYaoML · x · 2026-09-23
Researchers point out that agents that automatically rewrite their own prompts, tools, memory and workflows typically gain on the tasks they practice on, but the gains often vanish on new tasks — classic overfitting. Their fix: regularization applied to recursive self-improvement, detailed in the RRSI paper (arXiv:2609.24972).
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