Reproduce “Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES” on OpenResearch

Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.

Universal app for Apple silicon and Intel. Requires macOS 11 or later.

About this paper

Esben Jannik Bjerrum, Christian Margreitter, Thomas Blaschke, Raquel López-Ríos de Castro

Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.