<?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>Reinforcement Learning on 王辉赳的小站</title><link>https://styleofwong.cn/tags/reinforcement-learning/</link><description>Recent content in Reinforcement Learning on 王辉赳的小站</description><image><title>王辉赳的小站</title><url>https://styleofwong.cn/apple-touch-icon.png</url><link>https://styleofwong.cn/apple-touch-icon.png</link></image><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Sun, 28 Jun 2026 18:00:00 +0800</lastBuildDate><atom:link href="https://styleofwong.cn/tags/reinforcement-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>强化学习入门:从直觉到 Q-Learning</title><link>https://styleofwong.cn/posts/reinforcement-learning-intro/</link><pubDate>Sun, 28 Jun 2026 18:00:00 +0800</pubDate><guid>https://styleofwong.cn/posts/reinforcement-learning-intro/</guid><description>强化学习是让 AI 学会『在试错中成长』的范式。本文从最核心的直觉出发,讲清楚 MDP、贝尔曼方程、Q-Learning,并附一个可运行的 Python 示例。</description></item></channel></rss>