M ol M em: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
Ziqing Wang · Yibo Wen · Abhishek Pandey · Han Liu · Kaize Ding
摘要
In drug discovery, molecular optimization aims to iteratively refine a lead compound to improve molecular properties while preserving structural similarity to the original molecule. However, each oracle evaluation is expensive, making sample efficiency a key challenge for existing methods under a...