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You Don't Need To Train: Agentic Heuristic Learning Studio for Executable Human Activity Recognition

This story is from 2026-09-16. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.16065v1 Announce Type: new Abstract: Human activity recognition (HAR) is usually framed as gradient-based training of neural networks. Agentic Heuristic Learning (AHL) Studio explores a complementary view inspired by human cognitive learning: people learn activities by remembering exampl…

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  1. 2026-09-16 04:00 · arXiv cs.LG
    You Don't Need To Train: Agentic Heuristic Learning Studio for Executable Human Activity Recognition

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