Computing Stackelberg Equilibria of Large General-Sum Games
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Abstract (arXiv)
We study the computational complexity of finding Stackelberg Equilibria in general-sum games, where the set of pure strategies of the leader and the followers are exponentially large in a natrual representation of the problem. In zero-sum games, the notion of a Stackelberg equilibrium coincides with the notion of a Nash Equilibrium~citekorzhyk2011stackelberg. Finding these equilibrium concepts in zero-sum games can be efficiently done when the players have polynomially many pure strategies or when (in additional to some structural properties) a best-response oracle is available~citeahmadinejad2016duels, DHL+17, KV05. Despite such advancements in the case of zero-sum games, little is known for general-sum games. In light of the above, we examine the computational complexity of computing a Stackelberg equilibrium in large general-sum games. We show that while there are natural large general-sum games where the Stackelberg Equilibria can be computed efficiently if the Nash equilibrium in its zero-sum form could be computed efficiently, in general, structural properties that allow for efficient computation of Nash equilibrium in zero-sum games are not sufficient for computing Stackelberg equilibria in general-sum games.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Sep 2019.
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3 papers.