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Efficiently computing normal-form correlated equilibria in Markov games is now possible, bridging a long-standing gap since Papadimitriou and Roughgarden's seminal work.
Regret matching, the unsung hero of two-player zero-sum games, now dominates first-order optimizers in broader imperfect-recall decision problems, opening new avenues for AI safety and privacy.
