Foster, Dean PYoung, H. Peyton2023-05-232023-05-232006-09-012016-08-16https://repository.upenn.edu/handle/20.500.14332/47530A learning rule is uncoupled if a player does not condition his strategy on the opponent's payoffs. It is radically uncoupled if a player does not condition his strategy on the opponent's actions or payoffs. We demonstrate a family of simple, radically uncoupled learning rules whose period-by-period behavior comes arbitrarily close to Nash equilibrium behavior in any finite two-person game.Licensed under the Creative Commons Attribution- NonCommercial License 2.5.learningNash equilibriumregretbounded rationalityEconomicsStatistics and ProbabilityRegret Testing: Learning to Play Nash Equilibrium Without Knowing You Have an OpponentArticle