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Exploring Deep Recurrent Models with Reinforcement Learning for Molecule Design.
Daniel Neil
Marwin H. S. Segler
Laura Guasch
Mohamed Ahmed
Dean Plumbley
Matthew Sellwood
Nathan Brown
Published in:
ICLR (Workshop) (2018)
Keyphrases
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reinforcement learning
design process
statistical model
learning process
metamodel
case study
machine learning
genetic algorithm
prior knowledge
state space
experimental data
recurrent neural networks
design methodology