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Team Correlated Equilibria in Zero-Sum Extensive-Form Games via Tree Decompositions

AAAI 2022 · Learning theory and algorithms › Submodular and game algorithms · approach: Correlated equilibria in sequential games · 7 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the tree-decomposition LP instead of FCGS-21Team correlated equilibrium solving · 21L133 (Leduc poker)runtime: 2m23s -> 0.49sHelped
Use the tree-decomposition LP instead of FCGS-21Team correlated equilibrium solving · 21L223 (Leduc poker)runtime: 3m29s -> 0.23sHelped
Use the tree-decomposition LP instead of FCGS-21Team correlated equilibrium solving · 21D3 (Liar's Dice)runtime: 1m12s -> 2.03sHelped
Use the tree-decomposition LP instead of FCGS-21Team correlated equilibrium solving · 21G (Goofspiel)runtime: 1.18s -> 0.08sHelped
Use the tree-decomposition LP instead of FCGS-21Team correlated equilibrium solving · 21GL (limited-information Goofspiel)runtime: 0.33s -> 0.06sHelped
Apply the tree-decomposition LP to Kuhn poker with many typesTeam correlated equilibrium solving · 21K8 (Kuhn poker)runtime: 4s -> 2m24sHurt
Apply the tree-decomposition LP to a larger Kuhn poker instanceTeam correlated equilibrium solving · 21K12 (Kuhn poker)runtimeHurt

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