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50 AI hyperparameters, 500 training steps, one verified gradient step improved all 5 unseen seeds by 27.8% on average

This story is from 2026-09-14. It is preserved in the archive; the latest stories are on the live feed.

I ran a Catalyst experiment that I think gets much closer to the reason I built it. The result first: 50 AI training controls 500 AdamW steps 3 development seeds differentiated together 5 completely unseen seeds kept untouched until the end One single bounded Catalyst-guided update 5/5 unseen seeds…

Read the full story at r/reinforcementlearning ↗

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  1. 2026-09-14 00:31 · r/reinforcementlearning
    50 AI hyperparameters, 500 training steps, one verified gradient step improved all 5 unseen seeds by 27.8% on average

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