• Corpus ID: 233289910

Data-driven Optimization Model for Global Covid-19 Intervention Plans

@article{Liu2021DatadrivenOM,
  title={Data-driven Optimization Model for Global Covid-19 Intervention Plans},
  author={Chang Liu and Akshay Budhkar},
  journal={ArXiv},
  year={2021},
  volume={abs/2104.07865}
}
In the wake of COVID-19, every government huddles to find the best interventions that will reduce the number of infection cases while minimizing the economic impact. However, with many intervention policies available, how should one decide which policy is the best course of action? In this work, we describe an integer programming approach to prescribe intervention plans that optimizes for both the minimal number of daily new cases and economic impact. We present a method to estimate the impact… 

Figures and Tables from this paper

References

SHOWING 1-6 OF 6 REFERENCES
From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic
TLDR
This article demonstrates how evolutionary AI can be used to facilitate the next step, i.e., determining most effective intervention strategies automatically, in dealing with COVID-19 as well as possible future pandemics.
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
TLDR
This paper proposes soft actor-critic, an off-policy actor-Critic deep RL algorithm based on the maximum entropy reinforcement learning framework, and achieves state-of-the-art performance on a range of continuous control benchmark tasks, outperforming prior on-policy and off- policy methods.
Smart "Predict, then Optimize"
TLDR
Numerical experiments show that the SPO framework can lead to significant improvement under the predict-then-optimize paradigm, in particular, when the prediction model being trained is misspecified.
Human-level control through deep reinforcement learning
TLDR
This work bridges the divide between high-dimensional sensory inputs and actions, resulting in the first artificial agent that is capable of learning to excel at a diverse array of challenging tasks.
Variation in government responses to covid-19. Blavatnik school of government working paper
  • 2020
Variation in government responses to covid-19
  • Blavatnik school of government working paper,
  • 2020