English(EN) Optimistic Hedge in General-Sum Games: Fundamental Limits and Regret Bounds via Temporal Approximation

Optimistic Hedge算法在3+玩家游戏中显示指数级遗憾

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-06 05:00

一篇新论文介绍了用于General-Sum Games的Optimistic Hedge算法，并分析了其遗憾界限。研究人员发现，在两人游戏中，Optimistic Hedge可以实现与时间无关的$O(n\log n)$遗憾。然而，对于三个或更多玩家，不可能存在这样的恒定遗憾界限，遗憾可能随行动数量呈指数级增长，并随时间呈线性增长。 AI

影响关于多玩家游戏遗憾界限的理论发现可能为未来AI代理设计和多代理强化学习策略提供信息。

排序理由学术论文，详细介绍了博弈论算法的理论极限。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Yuval Dagan, Nadav Eisen, Liad Erez, Tomer Koren · 2026-11-06 05:00

General-Sum Games中的乐观对冲：通过时间近似实现基本限制和遗憾界限

arXiv:2611.07078v1 Announce Type: new Abstract: Optimistic Hedge, a multiplicative weight update with one step of extrapolation, is one of the most natural regret-minimizing dynamics for games, and characterizing its regret has been a longstanding open question. Daskalakis, Fishe…

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General-Sum Games中的乐观对冲：通过时间近似实现基本限制和遗憾界限

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