District-Coupled Epidemic Control via Deep Reinforcement Learning
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-10986-7_34
Reference22 articles.
1. Bastani, H., et al.: Efficient and targeted COVID-19 border testing via reinforcement learning. Nature 599(7883), 108–113 (2021)
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4. Colas, C., et al.: EpidemiOptim: a toolbox for the optimization of control policies in epidemiological models. J. Artif. Intell. Res. 71, 479–519 (2021)
5. Hao, Q., Chen, L., Xu, F., Li, Y.: Understanding the urban pandemic spreading of COVID-19 with real world mobility data. In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 3485–3492 (2020)
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