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English(EN) Input-to-State Stability Framework for Fully Distributed Primal-Dual Dynamics for Quadratic GNEPs Without Multiplier Consensus

新的ISS框架简化了分布式GNEP算法 · 跟踪2个来源

研究人员开发了一个新的输入状态稳定性(ISS)框架,用于解决广义纳什均衡问题(GNEPs)的分布式算法。这种新颖的方法消除了对乘数共识的需求,从而减少了通信开销,并增强了多智能体工程应用中的隐私性。该框架在特定条件下建立了收敛性,允许出现包括非变分GNE在内的各种结果。 AI

影响 这项研究可能导致多智能体系统中更高效、更私密的分布式算法,并可能影响工程和经济学领域的人工智能应用。

排序理由 该集群包含一篇学术论文,详细介绍了解决特定类别数学问题的新理论框架。

在 arXiv cs.AI 阅读 →

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新的ISS框架简化了分布式GNEP算法 · 跟踪2个来源

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该集群包含一篇学术论文,详细介绍了解决特定类别数学问题的新理论框架。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Shao-An Yin ·

    全分布式二次GNEP无乘子共识的输入到状态稳定性框架

    arXiv:2609.06983v1 Announce Type: cross Abstract: Generalized Nash Equilibrium Problems (GNEPs) often arise in multi-agent engineering applications that require distributed algorithms. Unlike traditional approaches that enforce consensus on multipliers, our method removes the nee…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Shao-An Yin ·

    用于二次GNEP的完全分布式对偶动力学的输入到状态稳定性框架,无乘数共识

    Generalized Nash Equilibrium Problems (GNEPs) often arise in multi-agent engineering applications that require distributed algorithms. Unlike traditional approaches that enforce consensus on multipliers, our method removes the need to share multipliers, reducing communication and…