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The WikiSkill paper validates why we need separate agents for discovering vs. executing skills (and why 4B models make great teachers for 27B models)

This story is from 2026-08-29. It is preserved in the archive; the latest stories are on the live feed.

I was digging through the WikiSkill paper, and there is a fascinating architectural pattern here that I think is highly applicable for those of us building multi-agent systems or custom agent loops. Most self-improving agent frameworks try to do everything in one go: run the task, look at the error…

Read the full story at r/reinforcementlearning ↗

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  1. 2026-08-29 11:51 · r/reinforcementlearning
    The WikiSkill paper validates why we need separate agents for discovering vs. executing skills (and why 4B models make great teachers for 27B models)

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