In most practical applications of molecular generative models, Selective Memory Purge should be used to achieve both exploration and exploitation. However, for full transparency, we report the stability of our proposed method in a pure exploitation scenario. The following insights will be informative if prospective users only want to generate one optimal solution in their generative experiment or want to reproduce the Aripiprazole Similarity experiment. To preemptively prevent mode collapse, we introduce "mode collapse guard" that purges the replay buffer if 50 percent of the buffer contains the exact same reward. For statistical rigour, we perform 100 replicates of Aripiprazole Similarity and present the results in Table . We follow Bjerrum et al. and present statistics on the epochs it takes to reach various average scores (average Tanimoto similarity of the batch of sampled molecules to aripiprazole) of 0.5, 0.8, and 0.9. The results support the stability of our method even in pure exploitation scenarios. The "mode collapse guard" was activated 16 times across 100 replicates and in all cases except 4, prevents mode collapse. The exceptions failed to rediscover aripiprazole (mode collapse at a Tanimoto similarity of 0.88). In practical applications, the experiment can be monitored and restarted from a check-point state. Moreover, we comment on the number of epochs it takes to reach an average score of 0.8 and 0.9 which are, in both cases, much lower than Double Loop RL . In particular, even at three standard deviations from the mean, the epochs it takes our method is faster than Double Loop RL. We further note that it is unclear if running their algorithm for 100 replicates would still be stable as it is not open-sourced. Overall, in pure exploitation scenarios, mode collapse can be observed but is not a problem if Selective Memory Purge is used. We highlight the practical usage of Augmented Memory with Selective Memory Purge to generate diverse molecules on the DRD2 case study in the main results and in Appendix E. Our method is consistently stable.