Handling continuous space security games with neural networks

Previous work considers discrete player actions, even for games with continuous space (through discretization)[1, 4, 5, 12]. Most approaches solve mixed integer linear programs to obtain Stackelberg Equilibria, which rarely scale to big problems. Other solutions rely on exploitable spatio-temporal structures of the problem and cannot be generalized to handle general settings [8, 2, 13].