---
id: 20260523-T0-05
title: "SOLAR：终身学习的自我优化AI代理"
title_en: "SOLAR: Self-Optimizing Agent for Lifelong Learning"
url: https://ai.daily.yangsir.net/daily/20260523-T0-05
issue_date: 2026-05-23
publish_date: 2026-05-22T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2605.20189
---

# SOLAR：终身学习的自我优化AI代理

研究人员提出SOLAR框架，一种能够终身学习和持续适应的开放自主AI代理。该模型解决了传统LLMs在动态环境中的概念漂移问题，通过非梯度方法降低适应成本。SOLAR有望在需要长期适应的应用场景中展现优势。

## English Version

**SOLAR: Self-Optimizing Agent for Lifelong Learning**

Researchers propose SOLAR, a self-optimizing open-ended AI agent for lifelong learning and continual adaptation. The model addresses concept drift in dynamic environments, reducing adaptation costs through non-gradient methods. SOLAR shows promise for applications requiring long-term adaptation.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2605.20189)

**详情页**：https://ai.daily.yangsir.net/daily/20260523-T0-05

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