Deep reinforcement learning uncovers processes for separating azeotropic mixtures without prior knowledge

Quirin Göttl, Jonathan Pirnay, Jakob Burger +1

Process synthesis in chemical engineering is a complex planning problem due to vast search spaces, continuous parameters and the need for generalization. Deep reinforcement learnin…