COVID-19 Pandemic Cyclic Lockdown Optimization Using Reinforcement Learning

Mauricio Arango, Lyudmil Pelov

This work examines the use of reinforcement learning (RL) to optimize cyclic lockdowns, which is one of the methods available for control of the COVID-19 pandemic. The problem is s…