2018
REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis
NeurIPS 2018poster
This paper proposes REFUEL, a reinforcement learning method with two techniques: {\em reward shaping} and {\em feature rebuilding}, to improve the performance of online symptom checking for disease diagnosis. Reward shaping can guide the search of policy towards better directions. Feature rebuilding…