Pandemic policy assessment by artificial intelligence

HIGHLIGHTS

SUMMARY

    This framework can translate alternative real-world mobility-control policies to mathematics models and simulate how the virus spreads via mobility. The oracle utilizes multiple RL models to execute each policy, and the control results are regarded as the potential upper bound of the policy. The protocols translate the RL-controlled results into metrics that support policy assessment in the discipline of public management, including policy-execution complexity, policy effectiveness, costs and benefits, and risks. The authors propose a novel policy assessment system that can assess and compare the execution complexity, costs, benefits, and . . .

     

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