MindRL reading room Growing collection

Preprint library

Follow new ideas about learning, minds, and AI. A focused reading list for our community, and a starting point for future conversations.

Human & animal learning AI & cognition AI with implications for learning

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selected preprints
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About this collection & its rankingCoverage, screening, and metric limits

Papers qualify for at least one of the three reading areas below. Each paper uses the latest available title, abstract, and authors. Metadata screening is a discovery aid; an abstract alone does not establish a paperā€™s quality or scientific validity. Preprints have not necessarily been peer reviewed.

Views and downloads are ranked within the platform that supplies the counters, using verified totals summed across all historical public versions and adjusted for time since first posting. The exposure adjustment assumes exponential saturation: count Ć· (1 āˆ’ exp(āˆ’age / Ļ„)), with a default time constant Ļ„ of seven days. A larger Ļ„ gives recently posted papers more compensation. This assumed accumulation curve is adjustable and has not been fitted to observed traffic.

Sources use different counters, so their scores are not pooled. Incomplete or unverified version totals do not enter usage ranking. A missing count is unavailable, never zero; those papers follow in newest-first order.

Your saved papers and tracked authors stay in this browser. Export them to keep a backup or move to another device. Author tracking filters this snapshot; it does not send invitations or notifications.

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Assumed accumulation curve; adjustable, not fitted to observed traffic.

Ranking uses source-specific age-adjusted counts where available.

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