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English(EN) OmniPlan: An Adaptive Framework for Timely and Near-Optimal Network Planning Optimization

OmniPlan框架使用LLM进行自适应网络规划优化

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了OmniPlan，一个旨在优化网络规划的新型自适应框架。该框架利用大型语言模型来解释用户以自然语言表达的意图，并将其转化为可量化的偏好向量。然后，OmniPlan采用混合专家架构，整合求解器、启发式算法和深度强化学习模型，以动态选择最合适的专家，从而实现及时且近乎最优的结果。实验表明，OmniPlan能有效分载机器学习推理任务，显著降低延迟和资源消耗。 AI

影响 该框架有望在分布式机器学习环境中实现更高效的资源分配和任务分载。

排序理由 该集群包含一篇详细介绍新框架及其评估的学术论文。

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

OmniPlan框架使用LLM进行自适应网络规划优化

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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Longlong Zhu, Jiashuo Yu, Zedi Chen, Yuhan Wu, Zhifan Jiang, Yuchen Xian, Yimeng Liu, Jiajie Su, Shaopeng Zhou, Xingyuan Li, Hongyan Liu, Xuan Liu, Dong Zhang, Chunming Wu, Xiang Chen ·

    OmniPlan：一个用于及时且近乎最优网络规划优化的自适应框架

    arXiv:2606.18105v1 Announce Type: cross Abstract: Network planning optimization is a fundamental problem across diverse domains, including transportation systems, communication networks, and power grids. It requires simultaneous optimization of multiple competing objectives under…

  2. arXiv cs.LG TIER_1 English(EN) · Xiang Chen ·

    OmniPlan：一个用于及时且近乎最优的网络规划优化的自适应框架

    Network planning optimization is a fundamental problem across diverse domains, including transportation systems, communication networks, and power grids. It requires simultaneous optimization of multiple competing objectives under complex constraints. Existing network planning op…

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