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In algorithmic game theory, robust price of anarchy refers to a bound on equilibrium inefficiency proved through a smoothness inequality, which then extends automatically to mixed, correlated and learning outcomes. This meaning comes from Roughgarden (2015) in Journal of the ACM.[1]
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