In the following, we discuss the properties that the latent space should possess to facilitate optimization, and we evaluate the performance of MOLRL following common literature benchmarks and performing a comparison with state-ofthe-art methodologies. We evaluate MOLRL on a single-property constraint optimization task and a multi-objective optimization task for generating biologically active molecules while improving molecular properties. Finally, we demonstrate how the introduced method can be effectively used for scaffold-constrained molecule optimization, a high-importance task in drug discovery scenarios.