{"version":"1.0","provider_name":"Glosarix","provider_url":"https:\/\/glosarix.com\/en\/","author_name":"Team Glosarix","author_url":"https:\/\/glosarix.com\/en\/author\/adm_glosarix\/","title":"Markov Decision Process with Function Approximation - Glosarix","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"9dOE3RqtNI\"><a href=\"https:\/\/glosarix.com\/en\/glossary\/markov-decision-process-with-function-approximation-en\/\">Markov Decision Process with Function Approximation<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/glosarix.com\/en\/glossary\/markov-decision-process-with-function-approximation-en\/embed\/#?secret=9dOE3RqtNI\" width=\"600\" height=\"338\" title=\"&#8220;Markov Decision Process with Function Approximation&#8221; &#8212; Glosarix\" data-secret=\"9dOE3RqtNI\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/glosarix.com\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"Description: The Markov Decision Process with Function Approximation is an extension of Markov Decision Processes (MDP) that allows addressing problems where the state space is too large to be handled directly. In this approach, function approximation is used to generalize knowledge acquired in certain states to other similar states, thus facilitating decision-making in complex environments. [&hellip;]"}