Augmented Memory required training a Prior and follows the protocol from REINVENT and using the provided ZINC dataset in the PMO repository. Table shows the hyperparameters of the LSTM network. We note all hyperparameters were kept default and the model was trained for 10 epochs as SMILES validity reached 95% and the total wall time was 11 minutes 57 seconds. BAR experiments were run with this same pre-trained Prior. The wall times for Experiment 3: Dopamine Type 2 Receptor (DRD2) are presented in Table . We note that we performed a total of 6 replicates for each algorithm: 3 in the main result experiments and 3 in the exploiting AutoDock Vina experiments (Figure ). For REINVENT , AHC , and BAR , we pool the experiments using experience replay. , and MW which generally enforces smaller molecules and could be a reason for the faster average compute time.