<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Finding Theta</title><description>finding-theta 技术博客：关于搜索、推理、优化和可复现工程的笔记。</description><link>https://www.findingtheta.com/</link><language>zh</language><atom:link href="https://www.findingtheta.com/zh/rss.xml" rel="self" type="application/rss+xml"/><item><title>使用深度 Q 学习（DQN）解决 Gymnasium 的 Lunar Lander</title><link>https://www.findingtheta.com/zh/blog/solving-gymnasiums-lunar-lander-with-deep-q-learning-dqn/</link><guid isPermaLink="true">https://www.findingtheta.com/zh/blog/solving-gymnasiums-lunar-lander-with-deep-q-learning-dqn/</guid><description>学习强化学习算法深度 Q 学习（DQN）的工作原理，并将其应用于解决 Gymnasium 的 Lunar Lander 问题。</description><pubDate>Mon, 01 Jul 2024 00:00:00 GMT</pubDate><category>experiments</category><category>dqn</category><category>gymnasium</category><category>reinforcement-learning</category></item></channel></rss>