Fig. 7From: Augmented Hill-Climb increases reinforcement learning efficiency for language-based de novo molecule generationREINVENT compared to Augmented Hill-Climb (in combination with DF2) property space according to molecular weight, LogP and the number of rotatable bonds for molecules optimized to minimize the docking score against four targets. The grey shading indicates property space not represented in the prior training setBack to article page