Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm

12 December 2020

Papers citing "Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm"

5 / 5 papers shown

Title
Pandemic Control, Game Theory and Machine Learning Yao Xuan R. Balkin Jiequn Han Ruimeng Hu Héctor D. Ceniceros AI4CE 11 1 0 18 Aug 2022
Learning High-Dimensional McKean-Vlasov Forward-Backward Stochastic Differential Equations with General Distribution Dependence Jiequn Han Ruimeng Hu Jihao Long AI4CE OOD 13 20 0 25 Apr 2022
Signatured Deep Fictitious Play for Mean Field Games with Common Noise Ming Min Ruimeng Hu 27 27 0 06 Jun 2021
A Class of Dimension-free Metrics for the Convergence of Empirical Measures Jiequn Han Ruimeng Hu Jihao Long 21 3 0 24 Apr 2021
Recurrent Neural Networks for Stochastic Control Problems with Delay Jiequn Han Ruimeng Hu 13 18 0 05 Jan 2021