REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis

Yu-Shao Peng, Kai-Fu Tang, Hsuan-Tien Lin, Edward Chang

Mar-22-2026, 23:47:23 GMT–Neural Information Processing Systems

This paper proposes REFUEL, a reinforcement learning method with two techniques: reward shapingand feature rebuilding, to improve the performance of online symptom checking for disease diagnosis.

artificial intelligence, machine learning, reinforcement learning, (15 more...)

Neural Information Processing Systems

Mar-22-2026, 23:47:23 GMT

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REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis
REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis

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