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In algorithmic game theory, coarse correlated equilibrium refers to a distribution over strategy profiles from which no player gains by committing in advance to a fixed deviation, the outcome reached by no-regret learning. This meaning comes from Moulin (1978) in International Journal of Game Theory.[1]
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