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Reinforcement learning optimizes feature selection for stable biomarker discovery

Researchers have developed StackFeat-RL, a novel meta-learning framework designed for feature selection in high-dimensional genomic data. This approach utilizes reinforcement learning, specifically REINFORCE policy grad…