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Stefan Forsström

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#machine learning Preprint Sep 2026

Age of Learning: Temporal Persistence of Prediction Errors as a Learning Signal

Age of Learning (AoL), a learning-state variable that measures the persistence of prediction errors over time, is introduced and suggested that temporal persistence provides a useful complementary signal for characterizing and controlling learning dynamics in imbalanced and non-stationary environments.

Chen-Yang Wang, Stefan Forsström, Roger Olsson et al. · 0 citations

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