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Boris Sattarov

2 accepted papers

2021

Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery

AAAI 2021technical

Reinforcement learning (RL) has made significant progress in both abstract and real-world domains, but the majority of state-of-the-art algorithms deal only with monotonic actions. However, some applications require agents to reason over different types of actions. Our application simulates reaction…

Cited by 9SourcePDFScholar
2020

Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning

ICML 2020poster

Over the last decade, there has been significant progress in the field of machine learning for de novo drug design, particularly in generative modeling of novel chemical structures. However, current generative approaches exhibit a significant challenge: they do not ensure that the proposed molecular…