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Gregor Simm

2 accepted papers

2020

Reinforcement Learning for Molecular Design Guided by Quantum Mechanics

ICML 2020poster

Automating molecular design using deep reinforcement learning (RL) holds the promise of accelerating the discovery of new chemical compounds. Existing approaches work with molecular graphs and thus ignore the location of atoms in space, which restricts them to 1) generating single organic molecules…