Dynamic resource allocation decision-making mechanism for mental health education optimized by reinforcement learning

Abstract Mental health education enhances resilience and reduces stress, but traditional institutions often struggle to allocate resources to diverse learners. Existing systems employ static recommendation models, which fail to account for user demands and engagement levels. MIND-RARE (Mental Health...

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Podrobná bibliografie

Hlavní autoři:	Yuxuan Wu, Lin Xu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2026-01-01
Edice:	Discover Artificial Intelligence
Témata:	Reinforcement learning Resource allocation Mental health education Personalization Adaptive recommendation Stress reduction
On-line přístup:	https://doi.org/10.1007/s44163-026-00864-6
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