TY - GEN
T1 - Stackelberg vs. Nash in the Lottery Colonel Blotto Game
AU - Liu, Yan
AU - Ni, Bonan
AU - Shen, Weiran
AU - Wang, Zihe
AU - Zhang, Jie
PY - 2025/8/16
Y1 - 2025/8/16
N2 - Resource competition problems are often modeled using Colonel Blotto games, where players take simultaneous actions. However, many real-world scenarios involve sequential decision-making rather than simultaneous moves. To model these dynamics, we represent the Lottery Colonel Blotto game as a Stackelberg game, in which one player, the leader, commits to a strategy first, and the other player, the follower, responds. We derive the Stackelberg equilibrium for this game, formulating the leader's strategy as a bi-level optimization problem. To solve this, we develop a constructive method based on iterative game reductions, which allows us to efficiently compute the leader's optimal commitment strategy in polynomial time. Additionally, we identify the conditions under which the Stackelberg equilibrium coincides with the Nash equilibrium. Specifically, this occurs when the budget ratio between the leader and the follower equals a certain threshold, which we can calculate in closed form. In some instances, we observe that when the leader's budget exceeds this threshold, both players achieve higher utilities in the Stackelberg equilibrium compared to the Nash equilibrium. Lastly, we show that, in the best case, the leader can achieve an infinite utility improvement by making an optimal first move compared to the Nash equilibrium.
AB - Resource competition problems are often modeled using Colonel Blotto games, where players take simultaneous actions. However, many real-world scenarios involve sequential decision-making rather than simultaneous moves. To model these dynamics, we represent the Lottery Colonel Blotto game as a Stackelberg game, in which one player, the leader, commits to a strategy first, and the other player, the follower, responds. We derive the Stackelberg equilibrium for this game, formulating the leader's strategy as a bi-level optimization problem. To solve this, we develop a constructive method based on iterative game reductions, which allows us to efficiently compute the leader's optimal commitment strategy in polynomial time. Additionally, we identify the conditions under which the Stackelberg equilibrium coincides with the Nash equilibrium. Specifically, this occurs when the budget ratio between the leader and the follower equals a certain threshold, which we can calculate in closed form. In some instances, we observe that when the leader's budget exceeds this threshold, both players achieve higher utilities in the Stackelberg equilibrium compared to the Nash equilibrium. Lastly, we show that, in the best case, the leader can achieve an infinite utility improvement by making an optimal first move compared to the Nash equilibrium.
UR - https://www.scopus.com/pages/publications/105021803166
U2 - 10.24963/ijcai.2025/441
DO - 10.24963/ijcai.2025/441
M3 - Chapter in a published conference proceeding
AN - SCOPUS:105021803166
T3 - IJCAI International Joint Conference on Artificial Intelligence
SP - 3961
EP - 3969
BT - Proceedings of the 34th International Joint Conference on Artificial Intelligence, IJCAI 2025
A2 - Kwok, James
PB - International Joint Conferences on Artificial Intelligence
T2 - 34th Internationa Joint Conference on Artificial Intelligence, IJCAI 2025
Y2 - 16 August 2025 through 22 August 2025
ER -