17 citations · 27 across the 9 of their papers we have counts for
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cs.LG2021★ 17 cited
Near-Optimal No-Regret Learning for Correlated Equilibria in Multi-Player General-Sum Games
Ioannis Anagnostides, Constantinos Daskalakis, Gabriele Farina +3
Recently, Daskalakis, Fishelson, and Golowich (DFG) (NeurIPS`21) showed that if all agents in a multi-player general-sum normal-form game employ Optimistic Multiplicative Weights U…
cs.LG2021★ 8 cited
Near-Optimal No-Regret Learning in General Games
Constantinos Daskalakis, Maxwell Fishelson, Noah Golowich
We show that Optimistic Hedge -- a common variant of multiplicative-weights-updates with recency bias -- attains regret in multi-player general-sum games. In p…