We conducted various experiments, first involving simulated experts, then human experts providing feedback on molecules generated by REINVENT and optimized via RF predictors for specific target properties. Here, we outline two distinct use case scenarios: the first one focuses on optimizing molecules to achieve penalized LogP values within a defined desired interval, while the second targets the optimization of molecule bioactivity for a specific protein receptor, DRD2.