Scalable Fragment-Based 3D Molecular Design with Reinforcement Learning

Daniel Flam-Shepherd, Alexander Zhigalin, Alán Aspuru-Guzik

Machine learning has the potential to automate molecular design and drastically accelerate the discovery of new functional compounds. Towards this goal, generative models and reinf…