Learning to Select Source Domains: Proxy-Rewarded Policy Optimization for Molecular OOD Generalization

Molecular property prediction under severe out-of-distribution (OOD) shifts remains challenging because conventional scaffold splits can retain local structural similarity between training and test molecules, while adaptation from heterogeneous source domains may cause negative transfer. We introduc