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Found 2 papers, 2 papers with code
Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction
This problem has been studied in a classical abstract model, the HP model, where the protein is modeled as a sequence of H (hydrophobic) and P (polar) amino acids on a lattice.
Composing Neural Learning and Symbolic Reasoning with an Application to Visual Discrimination
We consider the problem of combining machine learning models to perform higher-level cognitive tasks with clear specifications.
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