Research map / Learning theory and algorithms / Submodular and game algorithms
Exclusion Method for Finding Nash Equilibrium in Multiplayer Games
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use exclusion method instead of uniform-strategy search | equilibrium finding · GAMUT Covariant r=-0.5 | % instances not solved: 16 -> 0 | Helped |
| use exclusion method instead of uniform-strategy search | equilibrium finding · GAMUT Polymatrix | % instances not solved: 7 -> 0 | Helped |
| use exclusion method instead of uniform-strategy search | equilibrium finding · GAMUT Random graphical | average run time (s): 0.05 -> 35000 | Hurt |
| use exclusion method instead of uniform-strategy search | equilibrium finding · random games n=5 m=3 | % instances over time limit: 36 -> 46 | Mixed |
| use exclusion method instead of GAMBIT incomplete algorithms | equilibrium finding · GAMUT classes | completeness | Helped |
| increase game size (players n or actions m) | exclusion method · random games | average run time (s): 0.04 -> 900 | Hurt |
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