<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Agent推理 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/agent%E6%8E%A8%E7%90%86/</link><description>Recent content in Agent推理 on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Sun, 12 Jul 2026 23:10:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/agent%E6%8E%A8%E7%90%86/index.xml" rel="self" type="application/rss+xml"/><item><title>从ReAct到Reflexion：Agent推理范式演进</title><link>https://guijiagi.com/posts/article-38/</link><pubDate>Sun, 12 Jul 2026 23:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/article-38/</guid><description>Agent推理范式的三次跃迁：从ReAct到Reflexion再到自主规划的演进逻辑</description></item><item><title>从ReAct到Reflexion：Agent推理范式演进</title><link>https://guijiagi.com/posts/b2-64fc97fc/</link><pubDate>Sun, 12 Jul 2026 23:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/b2-64fc97fc/</guid><description>Agent推理范式的三次跃迁：从ReAct到Reflexion再到自主规划的演进逻辑</description></item><item><title>Agent规划算法对比：从ReAct到Tree of Thought的演进</title><link>https://guijiagi.com/posts/agent-planning-algorithms/</link><pubDate>Thu, 02 Jul 2026 10:04:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-planning-algorithms/</guid><description>系统对比2026年主流Agent规划算法的原理、优劣与适用场景</description></item></channel></rss>