Generative Frontier Planning for Adaptive Peer-Referral Recruitment
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Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals
arXiv:2606.08360v1 Announce Type: new Abstract: Peer-referral recruitment systems such as respondent-driven sampling are critical for studying and intervening on hidden populations affected by infectious diseases. To accelerate recruitment, public health agencies must adaptively allocate limited referral resources across multiple rounds, where current decisions shape both the number and the covariates of future recruits. Prior work makes this problem tractable by assuming that referrals are...