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English(EN) Skill^{infty}: Recursive Self-Improvement for Agent Skill Optimization

Skill$^{\infty}$ 实现 AI 代理的递归自我改进

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员推出了一种新颖的 AI 代理递归自我改进方法 Skill$^{\infty}$。该系统允许一个元代理使用相同的代理主导程序来优化特定任务的技能和自身的元技能。Skill$^{\infty}$ 在 83 个 SkillsBench 任务上表现出 60.7% 的通过率，优于人类策划的技能和之前称为 SkillEvolver 的方法。 AI

影响 通过使 AI 代理能够改进自身的学习过程，这种方法可以加速开发更强大、更适应性强的 AI 代理。

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Skill$^{\infty}$ 实现 AI 代理的递归自我改进

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Wangcheng Tao, Zhanglu Yan, Han Wu, Weng-Fai Wong ·

    Skill$^{\infty}$: 代理技能优化的递归自优化

    arXiv:2610.35434v1 Announce Type: new Abstract: Recursive self-improvement (RSI), in which a system also improves the way it improves, is a long-standing aspiration on the path to AGI. Language agents increasingly store procedural knowledge in reusable skills. Optimizing skills o…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Skill^{infty}: 智能体技能优化的递归自我改进

    Skill∞ enables recursive self-improvement by letting a meta agent optimize both task skills and its own meta-skill through a reusable, agent-led procedure, improving performance across diverse domains.

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