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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Detalles Bibliográficos

Principais autores:	Yuxuan Wu, Lin Xu
Formato:	Artigo
Idioma:	Inglês
Publicado:	Springer 2026-01-01
Series:	Discover Artificial Intelligence
Assuntos:	Reinforcement learning Resource allocation Mental health education Personalization Adaptive recommendation Stress reduction
Acceso en liña:	https://doi.org/10.1007/s44163-026-00864-6
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