Optimizing Chemical Reactions with Deep Reinforcement Learning (2017)
The authors reveal the use of models that iteratively improve outcomes for lab in loop optimization using deep learning models. Using RNN-enabled re-inforcement learning. The resulting Deep Reaction Optimizer (DRO) is supposed to "guide interactive decision-making procedure in optimizing reactions" by combining deep RL with chemistry domain knowledge.