<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Reinforcement Learning - Naifan Li's Blog</title><link>https://blog.omagiclee.com/categories/reinforcement-learning/</link><description>Reinforcement Learning - Naifan Li's Blog</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><lastBuildDate>Mon, 29 May 2023 20:20:00 +0800</lastBuildDate><atom:link href="https://blog.omagiclee.com/categories/reinforcement-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Direct Preference Optimization (DPO): Your Language Model is Secretly a Reward Model</title><link>https://blog.omagiclee.com/posts/reinforcement-learning/dpo/</link><pubDate>Mon, 29 May 2023 20:20:00 +0800</pubDate><guid>https://blog.omagiclee.com/posts/reinforcement-learning/dpo/</guid><description><![CDATA[<p><i class="fas fa-award fa-fw" aria-hidden="true"></i><span style="color:gray"></span>
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<i class="fas fa-file-pdf fa-fw" aria-hidden="true"></i><a href="https://arxiv.org/abs/2305.18290" target="_blank" rel="noopener noreffer ">arXiv 2305.18290</a>
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<h2 id="tldr">TL;DR</h2>
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<h2 id="motivations--innovations">Motivations &amp; Innovations</h2>
<h2 id="approach">Approach</h2>
<h3 id="model">Model</h3>
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<i class="fas fa-file-pdf fa-fw" aria-hidden="true"></i><a href="https://arxiv.org/abs/1707.06347" target="_blank" rel="noopener noreffer ">arXiv 1707.06347</a>
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<i class="fas fa-globe fa-fw" aria-hidden="true"></i>
<i class="fas fa-blog fa-fw" aria-hidden="true"></i></p>
<h2 id="tldr">TL;DR</h2>
<p><span style="color:red;"></span></p>
<h2 id="motivations--innovations">Motivations &amp; Innovations</h2>
<h2 id="approach">Approach</h2>
<h3 id="model">Model</h3>
<h3 id="training-recipe">Training Recipe</h3>
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