The article explores how to create algorithms for dealing with human adversaries in strategic games. By considering human limitations like bounded rationality and limited observations, the researchers developed a new approach using a mixed-integer linear program. They tested this approach in real security systems scenarios and found that it outperformed existing methods, leading to higher rewards and faster solutions.