<?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>GRPO on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/grpo/</link><description>Recent content in GRPO 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>Tue, 30 Jun 2026 17:10:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/grpo/index.xml" rel="self" type="application/rss+xml"/><item><title>强化学习对齐 2026：从 RLHF 到 DPO 再到 ORPO</title><link>https://guijiagi.com/posts/alignment-evolution-rlhf-to-orpo/</link><pubDate>Tue, 30 Jun 2026 17:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/alignment-evolution-rlhf-to-orpo/</guid><description>大模型对齐技术演进：RLHF、DPO、ORPO、GRPO等核心算法原理、实现要点与2026年最新进展</description></item><item><title>RLHF替代方案2026：DPO、GRPO、SimPO技术对比</title><link>https://guijiagi.com/posts/rlhf-alternatives-2026-dpo-grpo-simpo/</link><pubDate>Tue, 30 Jun 2026 09:20:00 +0800</pubDate><guid>https://guijiagi.com/posts/rlhf-alternatives-2026-dpo-grpo-simpo/</guid><description>深入对比2026年主流的RLHF替代方案：DPO、GRPO、SimPO的技术原理、优缺点和适用场景</description></item><item><title>RLHF替代方案2026：DPO、GRPO、SimPO技术对比</title><link>https://guijiagi.com/posts/rlhf-alternatives-2026/</link><pubDate>Tue, 30 Jun 2026 09:20:00 +0800</pubDate><guid>https://guijiagi.com/posts/rlhf-alternatives-2026/</guid><description>全面对比2026年主流RLHF替代方案，涵盖DPO、GRPO、SimPO等对齐技术的原理、优缺点和适用场景</description></item><item><title>GRPO 算法解析：DeepSeek 的强化学习新方案</title><link>https://guijiagi.com/posts/grpo-algorithm-deepseek-reinforcement-learning/</link><pubDate>Sun, 28 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/grpo-algorithm-deepseek-reinforcement-learning/</guid><description>深入解析 DeepSeek 提出的 GRPO（Group Relative Policy Optimization）算法，理解其原理、优势和实践方法</description></item><item><title>RLHF vs DPO vs GRPO：三种对齐算法深度对比</title><link>https://guijiagi.com/posts/rlhf-dpo-grpo/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/rlhf-dpo-grpo/</guid><description>从 RLHF 的 PPO 到 DPO 的无奖励模型，再到 GRPO 的群组相对策略优化，深度解析三种主流 LLM 对齐算法的原理与优劣。</description></item></channel></rss>