Intelligent vulnerability assessment system for college students mental health based on few-sample reinforcement learning approach
IntroductionCollege students’ psychological vulnerability assessment is constrained by data scarcity, high labeling cost, privacy sensitivity, and small, imbalanced samples, and existing frameworks typically treat vulnerability as a static judgment that cannot track how a student’s condition changes over time. This study examined whether a few-sample hierarchical grading model combined with…
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