<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>State Representation on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/state-representation/</link><description>Recent content in State Representation 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/state-representation/index.xml" rel="self" type="application/rss+xml"/><item><title>Predictive state representation</title><link>https://terms-en.ai-term-hub.com/en/terms/predictive_state_representation/</link><pubDate>Sat, 18 Jul 2026 10:11:14 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/predictive_state_representation/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Predictive State Representations (PSRs) extend traditional partially observable Markov decision processes by defining states as vectors of predictions about future observable events. Instead of relying on hidden true states, PSRs use the history of actions and observations to predict what will happen next. This allows agents to operate effectively in environments with partial observability, providing a more flexible and often more compact representation of the environment dynamics for planning and control.&lt;/p></description></item></channel></rss>