<?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 기술 블로그: 탐색, 추론, 최적화, 재현 가능한 엔지니어링 노트.</description><link>https://www.findingtheta.com/</link><language>ko</language><atom:link href="https://www.findingtheta.com/ko/rss.xml" rel="self" type="application/rss+xml"/><item><title>딥 Q-러닝(DQN)으로 Gymnasium의 루나 랜더 공략하기</title><link>https://www.findingtheta.com/ko/blog/solving-gymnasiums-lunar-lander-with-deep-q-learning-dqn/</link><guid isPermaLink="true">https://www.findingtheta.com/ko/blog/solving-gymnasiums-lunar-lander-with-deep-q-learning-dqn/</guid><description>강화 학습 알고리즘인 딥 Q-러닝(DQN)의 작동 원리를 알아보고, 이를 적용하여 Gymnasium의 루나 랜더 문제를 해결해 봅니다.</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>