This repository is for our recent NeurIPS 2022 paper: Reinforced Genetic Algorithm for Structure-based Drug Design. The paper proposes a reinforcement learning-based genetic algorithm for ...

It's often useful in machine learning to use interpretable models for prediction problems, either as the actual model, or as proxy models to approximate the behaviour of the actual (blackbox) models ...