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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Yuxuan Wu, Lin Xu
Format: Artigo
Sprache:Inglês
Veröffentlicht: Springer 2026-01-01
Schriftenreihe:Discover Artificial Intelligence
Schlagworte:
Reinforcement learning
Resource allocation
Mental health education
Personalization
Adaptive recommendation
Stress reduction
Online-Zugang:https://doi.org/10.1007/s44163-026-00864-6
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