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English(EN) Algorithms for Equilibria in Concurrent Stopping Games

新算法解决了并发停止博弈中的均衡问题

研究人员开发了新的算法来分析并发停止博弈中的均衡,这是一种用于多智能体系统的模型。即使在更简单的轮流博弈场景下,这些博弈中纳什均衡的约束存在性问题也是不可判定的。该研究通过考虑ε-纳什均衡提出了一个近似解,虽然计算量大,但在ε的比特大小上是多项式的。此外,研究还探讨了极端风险敏感均衡(XRSE),在这种均衡中,玩家会考虑最坏情况下的收益,并发现并发博弈中XRSE的约束存在性问题是NP完全的。 AI

影响 引入了多智能体系统的新理论框架,可能影响未来在协调和决策方面的AI研究。

排序理由 在arXiv上发表的学术论文,详细介绍了博弈论的新算法。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.MA (Multiagent) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新算法解决了并发停止博弈中的均衡问题

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在arXiv上发表的学术论文,详细介绍了博弈论的新算法。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · K. S. Thejaswini ·

    并发停时博弈中的均衡算法

    Concurrent games are a standard model for multi-agent systems, with Nash equilibrium as their central solution concept. The associated \emph{constrained existence problem}---does a game admit a Nash equilibrium whose expected payoff lies within a prescribed interval for every pla…