Extreme Length Generalization in a Compact Recurrent Architecture for One-Shot Exploration

Name: Extreme Length Generalization in a Compact Recurrent Architecture for One-Shot Exploration
Uploaded: 2026-10-05T11:12:57.230396+00:00
Duration: 799 s
Description: FRANK is a compact recurrent architecture designed for one-shot missions that demonstrates extreme length generalization. Six out of ten initial versions maintain 100% accuracy at 105 times their training length, unlike five baseline models. This suggests the architecture possesses a unique resilience allowing it to perform effectively over horizons far exceeding its training data.

FRANK is a compact recurrent architecture designed for one-shot missions that demonstrates extreme length generalization. Six out of ten initial versions maintain 100% accuracy at 105 times their training length, unlike five baseline models. This suggests the architecture possesses a unique resilience allowing it to perform effectively over horizons far exceeding its training data.

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