To address this issue, and incorporate our understanding of the role of the AL loop as a curator of "good examples", we introduced a novel MPO acquisition function and probabilistic formulation of the REINVENT score aggregation. This system was able to provide massive improvements in MPO optimization, nearly doubling the average MPO score compared with the RL baseline in the ADV case, at the expense of the raw number of hits produced relative to using only the oracle in the acquisition strategy. For the ROCS oracle, the MPOacquisition strategy performed interchangeably with the oracle-only acquisition strategy.