Best-response dynamics, playing sequences, and convergence to equilibrium in random games

We analyze the performance of the best-response dynamic across all normalform games using a random games approach. The playing sequence—the order in which players update their actions—is essentially irrelevant in determining whether the dynamic converges to a Nash equilibrium in certain classes of g...

詳細記述

書誌詳細
主要な著者: Heinrich, T, Jang, Y, Mungo, L, Pangallo, M, Scott, A, Tarbush, B, Wiese, S
フォーマット: Journal article
言語:English
出版事項: Springer 2023
その他の書誌記述
要約:We analyze the performance of the best-response dynamic across all normalform games using a random games approach. The playing sequence—the order in which players update their actions—is essentially irrelevant in determining whether the dynamic converges to a Nash equilibrium in certain classes of games (e.g. in potential games) but, when evaluated across all possible games, convergence to equilibrium depends on the playing sequence in an extreme way. Our main asymptotic result shows that the best-response dynamic converges to a pure Nash equilibrium in a vanishingly small fraction of all (large) games when players take turns according to a fixed cyclic order. By contrast, when the playing sequence is random, the dynamic converges to a pure Nash equilibrium if one exists in almost all (large) games.