<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Reinforcement Learning on Han's XYZ</title><link>https://han8931.github.io/tags/reinforcement-learning/</link><description>Recent content in Reinforcement Learning on Han's XYZ</description><generator>Hugo</generator><language>en</language><managingEditor>tabularasa8931@gmail.com (Han)</managingEditor><webMaster>tabularasa8931@gmail.com (Han)</webMaster><copyright>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</copyright><lastBuildDate>Tue, 07 Oct 2025 10:42:45 +0900</lastBuildDate><atom:link href="https://han8931.github.io/tags/reinforcement-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Reinforcement Learning</title><link>https://han8931.github.io/studynotes/rl-note/</link><pubDate>Sun, 07 Sep 2025 00:00:00 +0000</pubDate><author>tabularasa8931@gmail.com (Han)</author><guid>https://han8931.github.io/studynotes/rl-note/</guid><description>&lt;blockquote&gt;
&lt;p&gt;I welcome all comments and suggestions—and I&amp;rsquo;d be happy to improve and grow this note together with you.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;h1 id="-reinforcement-learning-notes"&gt;📘 Reinforcement Learning Notes&lt;/h1&gt;
&lt;p&gt;👉 You can check out the full notes here: &lt;a href="https://github.com/Han8931/reinforcement_learning_note" target="_blank" rel="noopener noreffer "&gt;reinforcement_learning_note&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;There are already a number of excellent tutorials and lectures on &lt;strong&gt;Reinforcement Learning (RL)&lt;/strong&gt;, but I often find that many of them do not provide enough detail or explanation of the formulas behind the concepts. In many cases, key ideas are assumed to be &lt;em&gt;obvious&lt;/em&gt; or &lt;em&gt;straightforward&lt;/em&gt;—which can be a challenge for someone like me, who has a weaker background in mathematics but still wants a &lt;strong&gt;comprehensive understanding&lt;/strong&gt; of RL.&lt;/p&gt;</description></item></channel></rss>