<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[deepmind 在nature发布自学习AlphaGo Zero]]></title><description><![CDATA[<p dir="auto">谷歌旗下人工智能公司DeepMind宣布AlphaGo出现了升级版AlphaGoZero,证实无监督强化学习在围棋这类问题中有state of art 级别的有效性。AlphaGo打败李世石用了3000万盘比赛作为训练数据，而AlphaGo Zero仅用了490万盘比赛数据。经过3天的训练，AlphaGo Zero以100：0的战绩完胜AlphaGo。<br />
<a href="https://deepmind.com/documents/119/agz_unformatted_nature.pdf" target="_blank" rel="noopener noreferrer">论文地址</a>: https://deepmind.com/documents/119/agz_unformatted_nature.pdf<br />
<a href="https://deepmind.com/blog/alphago-zero-learning-scratch" target="_blank" rel="noopener noreferrer">官方博客</a>: https://deepmind.com/blog/alphago-zero-learning-scratch</p>
]]></description><link>http://community.bwbot.org/topic/234/deepmind-在nature发布自学习alphago-zero</link><generator>RSS for Node</generator><lastBuildDate>Fri, 16 Oct 2026 08:06:36 GMT</lastBuildDate><atom:link href="http://community.bwbot.org/topic/234.rss" rel="self" type="application/rss+xml"/><pubDate>Thu, 19 Oct 2017 05:39:06 GMT</pubDate><ttl>60</ttl></channel></rss>