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#machine learning Preprint Oct 2026

Normal-Form Correlation in Markov Games

There has been a surge of recent work on correlated equilibrium concepts in Markov games. However, existing results focus on concepts weaker than normal-form correlated equilibria (NFCEs), leaving open the more challenging question of computing such equilibria, which goes back to the seminal work of Papadimitriou and R...

I. Anagnostides, Constantinos Daskalakis, Gabriele Farina et al. · 0 citations
Preprint Jul 2026

Polynomial-time computation of $\ell_p$-contraction fixed points for even $p$

We give a $\text{poly}(d, p, \log(1/\epsilon))$-time algorithm that computes an $\epsilon$-approximate fixed point of any $\ell_p$-nonexpansive map $f : \mathcal{X} \to \mathcal{X}$, where $\mathcal{X} \subset \mathbb R^d$ is a convex compact set and $p$ is an even integer. This is the first algorithm with $\text{poly}...

Constantinos Daskalakis, Gabriele Farina, B. Zhang · 0 citations

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