{"id":11496,"date":"2026-08-10T10:32:57","date_gmt":"2026-08-10T10:32:57","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-advanced-reinforcement-learning-policy-gradient-methods-2025-5\/"},"modified":"2026-08-10T10:32:57","modified_gmt":"2026-08-10T10:32:57","slug":"udemy-advanced-reinforcement-learning-policy-gradient-methods-2025-5","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-advanced-reinforcement-learning-policy-gradient-methods-2025-5\/","title":{"rendered":"Udemy \u2013 Advanced Reinforcement Learning: policy gradient methods 2025-5"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2>Descriptions<\/h2>\n<p>Advanced Reinforcement Learning: policy gradient methods, This is the most complete Reinforcement Learning course series on Udemy. In it, you will learn to implement some of the most powerful Deep Reinforcement Learning algorithms in Python using PyTorch and PyTorch lightning. You will implement from scratch adaptive algorithms that solve control tasks based on experience. You will learn to combine these techniques with Neural Networks and Deep Learning methods to create adaptive Artificial Intelligence agents capable of solving decision-making tasks. This course will introduce you to the state of the art in Reinforcement Learning techniques. It will also prepare you for the next courses in this series, where we will explore other advanced methods that excel in other types of task. The course is focused on developing practical skills. Therefore, after learning the most important concepts of each family of methods, we will implement one or more of their algorithms in jupyter notebooks, from scratch.<\/p>\n<h3>What you\u2019ll learn<\/h3>\n<ul>\n<li>Master some of the most advanced Reinforcement Learning algorithms.<\/li>\n<li>Learn how to create AIs that can act in a complex environment to achieve their goals.<\/li>\n<li>Create from scratch advanced Reinforcement Learning agents using Python\u2019s most popular tools (PyTorch Lightning, OpenAI gym, Optuna)<\/li>\n<li>Learn how to perform hyperparameter tuning (Choosing the best experimental conditions for our AI to learn)<\/li>\n<li>Fundamentally understand the learning process for each algorithm.<\/li>\n<li>Debug and extend the algorithms presented.<\/li>\n<li>Understand and implement new algorithms from research papers.<\/li>\n<\/ul>\n<h3>Who this course is for<\/h3>\n<ul>\n<li>Developers who want to get a job in Machine Learning.<\/li>\n<li>Data scientists\/analysts and ML practitioners seeking to expand their breadth of knowledge.<\/li>\n<li>Robotics students and researchers.<\/li>\n<li>Engineering students and researchers.<\/li>\n<\/ul>\n<h3>Specificatoin of Advanced Reinforcement Learning: policy gradient methods<\/h3>\n<ul>\n<li>Publisher : <a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/advanced-rl-pg\/?couponCode=LETSLEARNNOW\" target=\"_blank\" rel=\"noopener\">Udemy<\/a><\/li>\n<li>Teacher : <a href=\"https:\/\/downloadlynet.ir\/tag\/escape-velocity-labs\">Escape Velocity Labs<\/a><\/li>\n<li>Language : English<\/li>\n<li>Level : All Levels<\/li>\n<li>Number of Course : 97<\/li>\n<li>Duration : 7 hours and 34 minutes<\/li>\n<\/ul>\n<h3>Content of Advanced Reinforcement Learning: policy gradient methods<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-997839\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/08\/Advanced-Reinforcement-Learning_-policy-gradient-methods.c.jpeg\" alt=\"Advanced Reinforcement Learning_ policy gradient methods\" width=\"705\" height=\"870\"><\/p>\n<h3>Requirements<\/h3>\n<ul dir=\"ltr\">\n<li>Be comfortable programming in Python<\/li>\n<li>Completing our course \u201cReinforcement Learning beginner to master\u201d or being familiar with the basics of Reinforcement Learning (or watching the leveling sections included in this course).<\/li>\n<li>Know basic statistics (mean, variance, normal distribution)<\/li>\n<\/ul>\n<h3>Pictures<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-997840\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/08\/Advanced-Reinforcement-Learning_-policy-gradient-methods.d.jpeg\" alt=\"Advanced Reinforcement Learning_ policy gradient methods\" width=\"705\" height=\"279\"><\/p>\n<h3>Sample Clip<\/h3>\n<div style=\"width: 640px;\" class=\"wp-video\"><span class=\"mejs-offscreen\">Video Player<\/span><\/p>\n<div id=\"mep_0\" class=\"mejs-container mejs-container-keyboard-inactive wp-video-shortcode mejs-video\" tabindex=\"0\" role=\"application\" aria-label=\"Video Player\" style=\"width: 640px; height: 360px; min-width: 217px;\">\n<div class=\"mejs-inner\">\n<div class=\"mejs-mediaelement\"><mediaelementwrapper id=\"video-171893-1\"><video class=\"wp-video-shortcode\" id=\"video-171893-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Advanced_Reinforcement_Learning__policy_gradient_methods_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Advanced_Reinforcement_Learning__policy_gradient_methods_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Advanced_Reinforcement_Learning__policy_gradient_methods_Downloadly.ir.mp4?nocache=1786140952282\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Advanced_Reinforcement_Learning__policy_gradient_methods_Downloadly.ir.mp4<\/a><\/video><\/mediaelementwrapper><\/div>\n<div class=\"mejs-layers\">\n<div class=\"mejs-poster mejs-layer\" style=\"display: none; width: 100%; height: 100%;\"><\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-loading\"><span class=\"mejs-overlay-loading-bg-img\"><\/span><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-error\"><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer mejs-overlay-play\" style=\"width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-button\" role=\"button\" tabindex=\"0\" aria-label=\"Play\" aria-pressed=\"false\"><\/div>\n<\/div>\n<\/div>\n<div class=\"mejs-controls\">\n<div class=\"mejs-button mejs-playpause-button mejs-play\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Play\" aria-label=\"Play\" tabindex=\"0\"><\/button><\/div>\n<div class=\"mejs-time mejs-currenttime-container\" role=\"timer\" aria-live=\"off\"><span class=\"mejs-currenttime\">00:00<\/span><\/div>\n<div class=\"mejs-time-rail\"><span class=\"mejs-time-total mejs-time-slider\" role=\"slider\" tabindex=\"0\" aria-label=\"Time Slider\" aria-valuemin=\"0\" aria-valuemax=\"0\" aria-valuenow=\"0\" aria-valuetext=\"00:00\"><span class=\"mejs-time-buffering\" style=\"display: none;\"><\/span><span class=\"mejs-time-loaded\"><\/span><span class=\"mejs-time-current\"><\/span><span class=\"mejs-time-hovered no-hover\"><\/span><span class=\"mejs-time-handle\"><span class=\"mejs-time-handle-content\"><\/span><\/span><span class=\"mejs-time-float\"><span class=\"mejs-time-float-current\">00:00<\/span><span class=\"mejs-time-float-corner\"><\/span><\/span><\/span><\/div>\n<div class=\"mejs-time mejs-duration-container\"><span class=\"mejs-duration\">00:00<\/span><\/div>\n<div class=\"mejs-button mejs-volume-button mejs-mute\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Mute\" aria-label=\"Mute\" tabindex=\"0\"><\/button><a href=\"javascript:void(0);\" class=\"mejs-volume-slider\" aria-label=\"Volume Slider\" aria-valuemin=\"0\" aria-valuemax=\"100\" role=\"slider\" aria-orientation=\"vertical\"><span class=\"mejs-offscreen\">Use Up\/Down Arrow keys to increase or decrease volume.<\/span><\/p>\n<div class=\"mejs-volume-total\">\n<div class=\"mejs-volume-current\" style=\"bottom: 0px; height: 100%;\"><\/div>\n<div class=\"mejs-volume-handle\" style=\"bottom: 100%; margin-bottom: -3px;\"><\/div>\n<\/div>\n<p><\/a><\/div>\n<div class=\"mejs-button mejs-fullscreen-button\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Fullscreen\" aria-label=\"Fullscreen\" tabindex=\"0\"><\/button><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h3>Installation Guide<\/h3>\n<p>Extract the files and watch with your favorite player<\/p>\n<p>Subtitle : English<\/p>\n<p>Quality: 720<\/p>\n<h3>Download Links<\/h3>\n<p><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Advanced_Reinforcement_Learning_policy_gradient_methods_2025-5_Downloadly.ir.part1.rar?nocache=1786140951\">Download Part 1 \u2013 1 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Advanced_Reinforcement_Learning_policy_gradient_methods_2025-5_Downloadly.ir.part2.rar?nocache=1786140951\">Download Part 2 \u2013 1 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Advanced_Reinforcement_Learning_policy_gradient_methods_2025-5_Downloadly.ir.part3.rar?nocache=1786140951\">Download Part 3 \u2013 49 MB<\/a><\/p>\n<h5>Password file(s): <a>www.downloadly.ir<\/a><\/h5>\n<h3>File size<\/h3>\n<p>2.04 GB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Descriptions Advanced Reinforcement Learning: policy gradient methods, This is the most complete Reinforcement Learning course series on Udemy. In it, you will <\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[95810,95811,95812,95813,95814,37834,95815,95816,95817],"class_list":["post-11496","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-advanced-reinforcement-learning-policy-gradient-methods","dgi_tag-advanced-reinforcement-learning-policy-gradient-methods-download","dgi_tag-advanced-reinforcement-learning-policy-gradient-methods-free","dgi_tag-advanced-reinforcement-learning-policy-gradient-methods-free-download","dgi_tag-download-advanced-reinforcement-learning-policy-gradient-methods","dgi_tag-escape-velocity-labs","dgi_tag-free-advanced-reinforcement-learning-policy-gradient-methods","dgi_tag-free-download-advanced-reinforcement-learning-policy-gradient-methods","dgi_tag-udemy-advanced-reinforcement-learning-policy-gradient-methods"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/11496","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item"}],"about":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/types\/digital_item"}],"author":[{"embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":0,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/11496\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=11496"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=11496"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=11496"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}