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

Yao Xuan et al. (2020)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-01-05

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2012-06745
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2012-06745
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. CoRR abs/2012.06745 (2020)

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