coarse correlated equilibrium

Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games NeurIPS 2022 Policy Optimization for Markov Games: Unified Framework and Faster Convergence NeurIPS 2022 Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions AAAI 2021 Near-Optimal No-Regret Learning in General Games NeurIPS 2021 Simultaneous 2nd Price Item Auctions with No-Underbidding AAAI 2021 Contextual Games: Multi-Agent Learning with Side Information NeurIPS 2020 Hedging in games: Faster convergence of external and swap regrets NeurIPS 2020 No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix NeurIPS 2020 Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond NeurIPS 2020 Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature AISTATS 2019 Learning to Correlate in Multi-Player General-Sum Sequential Games NeurIPS 2019 Policy Regret in Repeated Games NeurIPS 2018 Fast Convergence of Regularized Learning in Games NeurIPS 2015 No-Regret Learning in Bayesian Games NeurIPS 2015