Stackelberg Equilibrium

Stackelberg equilibrium, a game-theoretic solution concept, models leader-follower interactions where a leader commits to a strategy, and followers optimally respond. Current research focuses on developing efficient algorithms, including reinforcement learning and gradient-based methods, to compute Stackelberg equilibria in various settings, such as multi-agent systems and online learning scenarios, often incorporating function approximation for scalability. This research is significant for its applications in diverse fields like robotics, economics, and security, enabling the design of robust and efficient strategies in complex interactive systems.