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"Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep ..."

Yao Xuan et al. (2021)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2022-05-20

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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/msml/XuanBHHC21
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  persistent URL:
  - https://dblp.org/rec/conf/msml/XuanBHHC21
Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros:
Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm. MSML 2021: 987-1012

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