Fast Swap Regret Minimization and Applications to Approximate Correlated Equilibria
Binghui Peng, Aviad Rubinstein
摘要
We give a simple and computationally efficient algorithm that, for any constant ǫ > 0, obtains ǫT -swap regret within only T = polylog(n) rounds; this is an exponential improvement compared to the super-linear number of rounds required by the state-of-the-art algorithm, and resolves the main open problem of [BM07]. Our algorithm has an exponential dependence on ǫ, but we prove a new, matching lower bound.
Our algorithm for swap regret implies faster convergence to ǫ-Correlated Equilibrium (ǫ-CE) in several regimes: For normal form two-player games with n actions, it implies the first uncoupled dynamics that converges to the set of ǫ-CE in polylogarithmic rounds; a polylog(n)bit communication protocol for ǫ-CE in two-player games (resolving an open problem mentioned by [BR17, GC18, GR18]); and an Õ(n)-query algorithm for ǫ-CE (resolving an open problem of [Bab20] and obtaining the first separation between ǫ-CE and ǫ-Nash equilibrium in the query complexity model).
For extensive-form games, our algorithm implies a PTAS for normal form correlated equilibria, a solution concept often conjectured to be computationally intractable (e.g. [VSF08,Fuj23]).
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引用它的顶会 Paper18
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- Efficient -Regret Minimization with Low-Degree Swap Deviations in Extensive-Form GamesBrian Hu Zhang, Ioannis Anagnostides, Gabriele Farina, Tuomas SandholmNeurIPS 2024 · 被引用 7 次
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