OPTIMAL INCENTIVES to MITIGATE EPIDEMICS: A STACKELBERG MEAN FIELD GAME APPROACH^∗

Keyphrases

• Mean Field Games 100%
• Stackelberg 100%
• Game Approach 100%
• Numerical Experiments 50%
• Monte Carlo Simulation 50%
• Nash Equilibrium 50%
• Mean Field 50%
• Model Complexity 50%
• Large Population 50%
• Game Model 50%
• Probabilistic Approach 50%
• Machine Learning System 50%
• Transition Rates 50%
• Specific Model 50%
• Epidemic Model 50%
• Non-cooperation Game 50%
• Stochastic Optimization 50%
• Finite State Space 50%
• SIR Model 50%
• Large State Space 50%
• Optimal Decision 50%
• Simulation-based Learning 50%
• Individual Cost 50%
• Epidemic Control 50%
• Non-pharmaceutical Interventions 50%
• Agent-based Control 50%

Mathematics

• Concludes 100%
• Numerical Experiment 100%
• Stochastics 100%
• Minimizes 100%
• Monte Carlo 100%
• Nash Equilibrium 100%
• Numerical Approach 100%
• Complex Model 100%
• SIR Model 100%
• Optimal Decision 100%
• Noncooperative Game 100%

Economics, Econometrics and Finance

• Incentives 100%
• Monte Carlo Simulation 100%
• Nash Equilibrium 100%
• Machine Learning 100%
• Noncooperative Game 100%