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  1. May 2026
  2. arxiv.org arxiv.org
    https://arxiv.org/abs/2604.20714
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    1. fxp007 01 May 2026
      The core of our framework is Group Relative Agent Optimization (GRAO), a novel meta-learning strategy that learns from historical optimization experiences.

      框架的核心是组相对智能体优化（GRAO），这是一种新颖的元学习策略，它从历史优化经验中学习，展示了该方法论的创新性和学习能力的增强。

      core-contribution GRAO-strategy
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    arxiv.org/abs/2604.20714