<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Model Based on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/model-based/</link><description>Recent content in Model Based on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/model-based/index.xml" rel="self" type="application/rss+xml"/><item><title>Action model learning</title><link>https://terms-en.ai-term-hub.com/en/terms/action_model_learning/</link><pubDate>Sat, 18 Jul 2026 09:44:54 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/action_model_learning/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Action model learning involves an agent constructing an internal representation of how its actions transition the environment from one state to another. Unlike passive observation, this method leverages the agent&amp;rsquo;s agency to gather data, allowing it to predict outcomes and plan future moves. It is crucial in environments where the underlying physics or rules are unknown, enabling the agent to build a predictive model through trial and error, thereby improving decision-making efficiency over time without requiring pre-labeled datasets.&lt;/p></description></item></channel></rss>