Partially Observable Reinforcement Learning for Sustainable Active Surveillance.

Lecture Notes in Artificial Intelligence, pp. 425-437, 2018.

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Abstract:

Active surveillance is the most effective strategy in the applications of infectious disease prevention, road network optimization, crime reconnaissance, etc. However, the incomplete data collected from partially monitored regions by active surveillance disables existing models to maintain a sustainable performance in the future. To addre...More

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