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Quasipolynomial algorithm finds approximate fixed points of ℓ∞ contractions

Original title: A Quasipolynomial Algorithm for $\ell_\infty$ Contractions

arXiv cs.AI / cs.LG / cs.CLby Ashkan Soleymani ()1 min read
AI summary · x-ai/grok-4.7Summaries by Vani AI

The method geometrically shrinks the search region and implies simple stochastic games can be solved in quasipolynomial time.

The paper gives an algorithm that computes an ε-approximate fixed point of any d-dimensional nonexpansion under the ℓ∞ norm in time log(1/ε) to the power O(log² d). The method uses a boosting argument to shrink the search region geometrically. As a consequence, simple stochastic games can be solved in quasipolynomial time.

Key facts
  • Runtime is log(1/ε) raised to O(log squared d).
  • The core technique is a boosting argument that shrinks the search region.
  • Simple stochastic games are solvable in quasipolynomial time as a consequence.
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From the original article

1 min read at arxiv.org

We give an algorithm for computing an $\eps$-approximate fixed point of any $d$-dimensional nonexpansion with respect to the $\ell_\infty$ norm in time $\log(1/\eps)^{O(\log^2 d)}$. At its core, our method uses a boosting argument to geometrically shrink a search region. Among other consequences, our algorithm implies that simple stochastic games can be solved in quasipolynomial time.

arXiv cs.AI / cs.LG / cs.CL

By Ashkan Soleymani · arxiv.org

Read the full article at arXiv cs.AI / cs.LG / cs.CL

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