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Solving the Side-Chain Packing Arrangement of Proteins from Reinforcement Learned Stochastic Decision Making
In this paper, we develop a reinforcement learning (RL) framework in a continuous setting and based on a stochastic parametrized Hamiltonian version of the Pontryagin maximum principle (PMP) to solve the side-chain packing and protein-folding problem.
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