Optimal Commitment

Optimal commitment strategies explore how a leader (principal) can achieve the best possible outcome in sequential games by strategically choosing an initial action that influences a follower's (agent's) subsequent response. Current research focuses on refining models like Stackelberg games, particularly by accounting for the follower's ability to learn and adapt to the leader's commitment, even with incomplete information about the leader's payoffs. This work is significant because it improves the robustness and applicability of commitment strategies in real-world scenarios, such as security games and strategic classification, where assumptions about the follower's rationality are often unrealistic. Understanding these adaptive responses is crucial for designing effective commitment strategies in complex interactive systems.