<?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>OpenAI Five on 王辉赳的小站</title><link>https://styleofwong.cn/tags/openai-five/</link><description>Recent content in OpenAI Five 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 19:00:00 +0800</lastBuildDate><atom:link href="https://styleofwong.cn/tags/openai-five/index.xml" rel="self" type="application/rss+xml"/><item><title>从 AlphaZero 到 Dota 2:强化学习的三道难关与破局之法</title><link>https://styleofwong.cn/posts/rl-breakthroughs-alphazero-dota/</link><pubDate>Sun, 28 Jun 2026 19:00:00 +0800</pubDate><guid>https://styleofwong.cn/posts/rl-breakthroughs-alphazero-dota/</guid><description>AlphaZero 与 OpenAI Five 是强化学习的两座里程碑。它们各自撞上了哪些墙?又用怎样的工程与算法创新把它们撞倒?本文用金字塔结构拆解:三大共性难关 —— 数据、稳定性、规模 —— 以及各自的破局之道。</description></item></channel></rss>