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To reduce the spread of COVID-19, and reduce hospitalizations and deaths resulting from infections, provinces and territories across Canada have imposed restrictions and limitations on the population based on Non-Pharmaceutical Intervention (NPI) strategies. One of the many factors that plays a role into the selection of NPIs is the use of epidemiological modelling. Using Reinforcement Learning, data scientists at Statistics Canada, in collaboration with partners at the Public Health Agency of Canada, helped determine the optimal set of population behaviours that minimize the spread of an infection within simulations to model and/or forecast the effect of a set of specific scenarios.