<?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>好奇心驱动 on AI 实战派 · 从技术到赚钱</title><link>https://guijiagi.com/tags/%E5%A5%BD%E5%A5%87%E5%BF%83%E9%A9%B1%E5%8A%A8/</link><description>Recent content in 好奇心驱动 on AI 实战派 · 从技术到赚钱</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>Mon, 19 Oct 2026 13:48:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E5%A5%BD%E5%A5%87%E5%BF%83%E9%A9%B1%E5%8A%A8/index.xml" rel="self" type="application/rss+xml"/><item><title>好奇心驱动探索：内在动机能不能给AI一个自己找路的罗盘？</title><link>https://guijiagi.com/posts/2026-10-19-18-curiosity-driven-intrinsic-motivation-exploration/</link><pubDate>Mon, 19 Oct 2026 13:48:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-19-18-curiosity-driven-intrinsic-motivation-exploration/</guid><description>强化学习里外在奖励稀疏时，好奇心以预测误差为内在奖励推动探索，ICM与计数估计是两条实现路线，本文拆解内在动机机制及其奖励投机陷阱，对照人类求知欲的根源。</description></item></channel></rss>