While simple, our probabilistic reformulation of the REINVENT MPO criteria is highly flexible and we believe it provides a principled way to handle multiple scoring components with varying degrees of uncertainty in RL scoring functions, whether they come from machine learning model confidence (as in this case) or another source (for example, Bennet error 71 in free energy prediction). prepared according to established ADV protocol . For the generation of three dimensional input structures for ADV w24tilizeded RDKit's embeddings .