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Computing Game Symmetries and Equilibria That Respect Them

AAAI 2025 · Learning theory and algorithms › Submodular and game algorithms · approach: Correlated equilibria in sequential games · 3 citations (OpenAlex)

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Studies the complexity of identifying game symmetries (graph automorphism/isomorphism-complete in general) and of computing Nash equilibria that respect a given set of symmetries (PPAD-complete in general-sum, CLS-complete in team games, polynomial for few orbits and for two-player zero-sum games).

Problem

Identifying symmetries of normal-form games and computing Nash equilibria that respect those symmetries, including the computational complexity of both tasks.

Approach

Connects game symmetries to graph automorphisms and isomorphisms via a graph construction, yielding tight complexity classifications; shows symmetry-respecting Nash equilibria reduce to orbit-level computation, and that two-player zero-sum equilibria can respect all symmetries in polytime without computing them, via an entropy-like strictly convex regularizer.

Key results

Surprising findings

Limitations

Experimental setup

Builds on: Nash existence via Brouwer fixed point PPAD CLS graph isomorphism

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