Using Probabilistic Planning to Model the Spread of COVID-19 in Kingston, Ontario

This work leverages probabilistic planning to both generate a geographical agent-based model of COVID-19 in Kingston, Ontario, and to facilitate policy creation via Jax-Planner with the aim of optimally implementing mask and vaccine mandates on a population. Ultimately, the aforementioned policies were successful at minimizing burden on the simulated population.