REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis
Yu-Shao Peng, Kai-Fu Tang, Hsuan-Tien Lin, Edward Chang
–Neural Information Processing Systems
This paper proposes REFUEL, a reinforcement learning method with two techniques: reward shaping and feature rebuilding, to improve the performance of online symptom checking for disease diagnosis.
Neural Information Processing Systems
Nov-20-2025, 23:38:53 GMT
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