Before revision:  It suggests that prioritizing tests using RL on temporal graphs can increase the number of healthy people by 25 %DIF < and contain the epidemic 30\\% more often than supervised approaches and 2.5\times more often than non-learned baselines using the same resources.abstract 
After revision:  It suggests that prioritizing tests using RL on temporal graphs can increase the number of healthy people by 25 %DIF < and contain the epidemic 30\\% more often than supervised approaches and 2.5\times more often than non-learned baselines using the same resources.abstract in order to curb the spread of an epidemic, and influence maximization on a graph.