We start with a weighted (to reduce the chances of very similar ligands being chosen) random selection of 100 ligands from our library and retrieve their binding free energies. Following the narrowing selection approach, the active learning protocol broadly explores the chemical landscape due to disagreements between models based on different ligand representations in the first two iterations. By iteration two, the top models agree that the best ligands reside in the same three clusters we identified from (Fig. ).