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BUG: gambit-ipa
returns non-Nash equilibrium in simple poker
#406
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tturocy
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Jan 26, 2024
This adds a check that the perturbation vector specified for IPA is generic. Specifically, it requires that the perturbation vector has a unique maximiser for each player. This ensures that the game perturbed along this ray has a unique equilibrium in pure strategies for a sufficiently large perturbation. This also changes the perturbation vector used by the default call to IPA to perturb the game such that the perturbed game's equilibrium is for each player to play their first-numbered strategy. A consequence of using non-generic perturbation vectors was that IPA could return non-Nash output. Closes #406.
tturocy
added a commit
that referenced
this issue
Jan 26, 2024
This adds a check that the perturbation vector specified for IPA is generic. Specifically, it requires that the perturbation vector has a unique maximiser for each player. This ensures that the game perturbed along this ray has a unique equilibrium in pure strategies for a sufficiently large perturbation. This also changes the perturbation vector used by the default call to IPA to perturb the game such that the perturbed game's equilibrium is for each player to play their first-numbered strategy. A consequence of using non-generic perturbation vectors was that IPA could return non-Nash output. Closes #406.
tturocy
added a commit
that referenced
this issue
Jan 26, 2024
This adds a check that the perturbation vector specified for IPA is generic. Specifically, it requires that the perturbation vector has a unique maximiser for each player. This ensures that the game perturbed along this ray has a unique equilibrium in pure strategies for a sufficiently large perturbation. This also changes the perturbation vector used by the default call to IPA to perturb the game such that the perturbed game's equilibrium is for each player to play their first-numbered strategy. A consequence of using non-generic perturbation vectors was that IPA could return non-Nash output. Closes #406.
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Steps to reproduce in Python:
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