Stability and Convergence of Optimistic Exponential Weights with Asymmetric Step Sizes in Bimatrix Games

Hédi Hadiji, Sarah Sachs
7/8/2026
cs.MAmath.DS

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Abstract

We study bimatrix two-player games and investigate the last-iterate convergence and stability of equilibria for the iterates generated by the optimistic exponential weights method. In contrast to prior work, we allow the step sizes $η_x$ and $η_y$ to differ. Our first main result establishes, under the assumption that the set of fixed points is finite, a sufficient condition for global last-iterate convergence in the special case of zero-sum games, which constrains only the product $η_xη_y$ of the step sizes. This condition is practically relevant and partially explains empirically observed behavior. Our second main result provides an almost-tight threshold for asymptotic stability and instability, again in terms of products of the step sizes, for general bimatrix games. This result is primarily of theoretical interest. We derive several known results and practically relevant step size bounds for special cases and illustrate our results by experiments.

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Cite this paper

@article{hadiji2026stability,
  title  = {Stability and Convergence of Optimistic Exponential Weights with Asymmetric Step Sizes in Bimatrix Games},
  author = {Hédi Hadiji and Sarah Sachs},
  year   = {2026},
  eprint = {2607.07517},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2607.07517v1}
}

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