AI Research
Lessons from Luck: Do LLM-Written Lessons Carry Chance into an Agent's Next Decision?
A study asks whether noisy outcomes can influence the lessons agents use to guide later choices.
Self-improving agents write lessons from the outcomes of their runs; when outcomes are noisy, a lesson can carry chance into later decisions.
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ArXiv CS.LG
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2 min
ArXiv CS.LG
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If noisy outcomes shape an agent’s written lessons, later choices may reflect chance rather than reliable learning. Understanding this risk matters when assessing how self-improving agents update decisions from experience.
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