<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Education on Guy Freeman</title><link>https://gfrm.in/categories/education/</link><description>Recent content in Education on Guy Freeman</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 26 Dec 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://gfrm.in/categories/education/index.xml" rel="self" type="application/rss+xml"/><item><title>Building a Bayesian Learning Agent That Teaches Itself to Eat</title><link>https://gfrm.in/posts/bayesian-agent/</link><pubDate>Fri, 26 Dec 2025 00:00:00 +0000</pubDate><guid>https://gfrm.in/posts/bayesian-agent/</guid><description>&lt;p&gt;You&amp;rsquo;re stranded somewhere unfamiliar with twelve types of food scattered around. Some provide energy. Others are toxic. You don&amp;rsquo;t know which is which, you&amp;rsquo;re losing energy with every step, and nobody left a manual. The question is whether you can learn fast enough to survive.&lt;/p&gt;
&lt;p&gt;This is the exploration-exploitation tradeoff, and it&amp;rsquo;s one of those problems that sounds like a thought experiment until you actually have to solve it. Pure exploration &amp;mdash; trying everything at random &amp;mdash; kills you. Pure exploitation &amp;mdash; eating only what you currently believe is best &amp;mdash; starves you when better options exist two metres away. You need something that balances both, and ideally something with a mathematical proof attached.&lt;/p&gt;</description></item></channel></rss>