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Exploring the Role of Reinforcement Learning in Protein Folding and Design
This chapter explores the role of reinforcement learning in protein folding predictions, centering on the AlphaFold project. The speaker discusses the transition from RL to supervised learning for this challenge and highlights RL's potential in protein design, where its optimization techniques can be more effectively applied.