Molecular De Novo Design through Deep Reinforcement Learning

Marcus Olivecrona, Thomas Blaschke, Ola Engkvist +1

This work introduces a method to tune a sequence-based generative model for molecular de novo design that through augmented episodic likelihood can learn to generate structures wit…