Optimizing the Order of Play in Stackelberg Games with Many Robots to Achieve Socially Optimal Outcomes

The key idea is to efficiently compute the socially optimal order of play and its associated Stackelberg equilibrium for multi-agent trajectory games, where the order of play crucially affects the overall system performance.