<?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>Reinforcement Learning on Bluue Whale</title><link>https://bluuewhale.github.io/ko/tags/reinforcement-learning/</link><description>Recent content in Reinforcement Learning on Bluue Whale</description><image><title>Bluue Whale</title><url>https://bluuewhale.github.io/images/profile.jpg</url><link>https://bluuewhale.github.io/images/profile.jpg</link></image><generator>Hugo -- 0.152.2</generator><language>ko-kr</language><lastBuildDate>Sat, 22 Aug 2026 22:21:36 +0900</lastBuildDate><atom:link href="https://bluuewhale.github.io/ko/tags/reinforcement-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>SIMA: A Generalist AI Agent for 3D Virtual Environments</title><link>https://bluuewhale.github.io/ko/posts/sima-generalist-ai-agent-3d-environments/</link><pubDate>Sun, 16 Nov 2025 09:20:13 +0900</pubDate><guid>https://bluuewhale.github.io/ko/posts/sima-generalist-ai-agent-3d-environments/</guid><description>게임 엔진 API 대신 화면과 키보드/마우스만으로 여러 3D 게임을 플레이하는 딥마인드의 범용 에이전트 SIMA를, Behavior Cloning과 Classifier-Free Guidance를 중심으로 정리합니다.</description></item></channel></rss>