CL generates more unique 'favourable' scaffolds than baseline RL by absolute counts and percentage (Fig. ). This is in agreement with the docking scores distributions in Fig. that illustrate clear enrichment in docking scores for the CL experiments. The results show that using Curriculum Objectives increases the number of 'favourable' scaffold ideas generated and maintains agent exploration as enforced by the diversity filter (DF, see Methods). Importantly, the unique scaffolds count demonstrates the capability of CL to perform scaffold hopping (see Supplementary Fig. for example compounds generated in the "High" Tanimoto experiment and Fig. -15 for unique scaffolds statistics for each replicate experiment). The top 3000 compounds were extracted from each triplicate experiment. Overall, the "Low" and "High" scenarios sample from areas 'close' in chemical space, but generally distinct from baseline RL.