A new algorithm for the incomplete-information game of coding learns adversary preferences through repeated interactions and achieves sublinear cumulative regret by focusing search on promising acceptance rules.
Strategic classification from revealed preferences
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Learning from Acceptance: Cumulative Regret in the Game of Coding
A new algorithm for the incomplete-information game of coding learns adversary preferences through repeated interactions and achieves sublinear cumulative regret by focusing search on promising acceptance rules.