AINeutralarXiv – CS AI · 18h ago5/10
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Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals
Researchers propose Generative Frontier Planning (GFP), a novel algorithm for optimizing peer-referral recruitment in hidden populations by modeling realistic homophily effects and covariate-dependent arrivals. The method outperforms existing baselines by using deterministic backups over generative models rather than Monte-Carlo sampling, achieving near-optimal resource allocation for public health interventions.