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Agent Self-Evolution: A Comprehensive Survey (2023-2025)

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

Agent Self-Evolution: A Comprehensive Survey from One-Shot Learning to Continuous Growth (2023–2026) Abstract: Large language models are static systems—trained once, capabilities frozen. But real-world tasks never repeat themselves. When agents begin to know what they don't know and actively self-m…

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  1. 2026-09-04 14:00 · DEV Community — Machine Learning
    Agent Self-Evolution: A Comprehensive Survey (2023-2025)

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