English(EN) Normal-Form Correlation in Markov Games

新算法计算马尔可夫博弈中的范式相关均衡

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-05 04:00

研究人员开发了首个用于计算有限 horizonte 马尔可夫博弈中范式相关均衡（NFCEs）的高效算法。该算法的运行时间为 $S(AH/\epsilon)^{O(n)}$，其中 $n$ 为玩家数量，$S$ 为状态数，$H$ 为 horizonte，$\epsilon$ 为精度。这比之前仅关注较弱相关均衡概念的工作有了显著进步。该方法涉及在辅助阶段博弈上进行逆向归纳，并纳入了恒定期望相关均衡。该论文还在某些场景下确立了 NFCEs 的 PPAD-完备性，表明其在计算上等同于纳什均衡。 AI

影响这项研究推进了 AI 中博弈论的理论理解，可能对多智能体系统和战略决策产生影响。

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在 arXiv cs.LG 阅读 →

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arXiv cs.LG TIER_1 English(EN) · Ioannis Anagnostides, Constantinos Daskalakis, Gabriele Farina, Noah Golowich, Tuomas Sandholm, Brian Hu Zhang · 2026-10-05 04:00

马尔可夫对策中的范式相关性

arXiv:2610.03621v1 Announce Type: cross Abstract: 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 questio…

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马尔可夫对策中的范式相关性

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