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Department of Engineering, Universitat Pompeu Fabra, Barcelona, Spain
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Reinforcement learning can now handle active feature selection in high-dimensional datasets by intelligently pruning the feature search space and regularizing decision sequences, outperforming existing methods in accuracy and policy complexity.
