<?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>RL Foundations on Reinforcement Learning Curriculum</title>
    <link>https://codefrydev.in/Reinforcement/tags/rl-foundations/</link>
    <description>Recent content in RL Foundations on Reinforcement Learning Curriculum</description>
    <image>
      <title>Reinforcement Learning Curriculum</title>
      <url>https://codefrydev.in/Reinforcement/og-default.png</url>
      <link>https://codefrydev.in/Reinforcement/og-default.png</link>
    </image>
    <generator>Hugo</generator>
    <language>en-us</language>
    <atom:link href="https://codefrydev.in/Reinforcement/tags/rl-foundations/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Phase 6 — RL foundations (tabular)</title>
      <link>https://codefrydev.in/Reinforcement/learning-path/modules/phase-6/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://codefrydev.in/Reinforcement/learning-path/modules/phase-6/</guid>
      <description>Volumes 1–2: MDPs, dynamic programming, Monte Carlo, TD, SARSA, and tabular Q-learning. Core theory before function approximation.</description>
    </item>
  </channel>
</rss>
