A summary of the discovered control strategies during the rounds of the optimization process.

The first column is the index of the discovered quarantine strategy. Each strategy consists of three ratios that show the portion of each group of {students, workers, customers} to put in quarantine. The second column indicates the iteration at which the associated strategy is found, and the rightmost column shows the value of the cost function for that strategy. This table only incorporates the iterations at which the agent improves the strategy. It can be seen that, at earlier rounds, the agent picks a large ratio of students, and only in later rounds, it realizes the critical effect of quarantining workers. Each iteration equals a single run with a population size of 2k, and takes (13.8 ± 5.7) minutes with average computational power.