{"id":7412,"date":"2026-08-10T09:43:53","date_gmt":"2026-08-10T09:43:53","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-introduction-to-reinforcement-learning-rl-2024-11\/"},"modified":"2026-08-10T09:43:53","modified_gmt":"2026-08-10T09:43:53","slug":"udemy-introduction-to-reinforcement-learning-rl-2024-11","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-introduction-to-reinforcement-learning-rl-2024-11\/","title":{"rendered":"Udemy \u2013 Introduction to Reinforcement Learning (RL) 2024-11"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p><span style=\"vertical-align: inherit\">Introduction to Reinforcement Learning (RL) course. This course introduces you to the fascinating world of Deep Reinforcement Learning. This comprehensive and practical course is designed for beginners and enthusiasts who want to fully master reinforcement learning techniques with PyTorch. With no specific prerequisites, we cover fundamental concepts\u2014including value functions, value-action functions, and the Bellman equation\u2014to give you a solid theoretical foundation.<\/span><\/p>\n<h3><span style=\"vertical-align: inherit\">What you will learn in this course:<\/span><\/h3>\n<div data-purpose=\"safely-set-inner-html:description:description\">\n<ul data-sourcepos=\"13:1-17:0\">\n<li data-sourcepos=\"13:1-13:183\"><span style=\"vertical-align: inherit\">Atari Games with Deep Reinforcement Learning: Discover how reinforcement learning agents learn classic Atari games and understand the groundbreaking concepts behind the first wave of deep Q learning.<\/span><\/li>\n<li data-sourcepos=\"14:1-14:191\"><span style=\"vertical-align: inherit\">Human-level control with deep reinforcement learning: Take a closer look at how deep Q-networks (DQNs) achieved human-level performance and revolutionized the field of reinforcement learning.<\/span><\/li>\n<li data-sourcepos=\"15:1-15:219\"><span style=\"vertical-align: inherit\">Asynchronous Methods for Deep Reinforcement Learning: Explore asynchronous advantage actor-critic (A3C) methods that improved both stability and performance in reinforcement learning, allowing agents to learn faster and more effectively.<\/span><\/li>\n<li data-sourcepos=\"16:1-17:0\"><span style=\"vertical-align: inherit\">Approximate Policy Optimization (PPO) Algorithms: Learn PPO in depth, one of the most powerful and efficient algorithms used in advanced reinforcement learning research and applications.<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Who is this course for?<\/span><\/h3>\n<ul>\n<li data-sourcepos=\"18:1-18:201\"><span style=\"vertical-align: inherit\">This course is rich in hands-on coding sessions where you will implement each algorithm from scratch with PyTorch. By the end, you will have a project portfolio and a solid understanding of both the theory and practice of deep reinforcement learning.<\/span><\/li>\n<\/ul>\n<h3 data-sourcepos=\"20:1-20:79\"><span style=\"vertical-align: inherit\">What you will learn in the Introduction to Reinforcement Learning (RL) course<\/span><\/h3>\n<ul data-sourcepos=\"22:1-27:0\">\n<li data-sourcepos=\"22:1-22:28\"><span style=\"vertical-align: inherit\">Main concepts of reinforcement learning<\/span><\/li>\n<li data-sourcepos=\"23:1-23:51\"><span style=\"vertical-align: inherit\">Implementing reinforcement learning algorithms in PyTorch<\/span><\/li>\n<li data-sourcepos=\"24:1-24:46\"><span style=\"vertical-align: inherit\">Building agents to play Atari games<\/span><\/li>\n<li data-sourcepos=\"25:1-25:46\"><span style=\"vertical-align: inherit\">Exploring policy-based and value-based approaches<\/span><\/li>\n<li data-sourcepos=\"26:1-27:0\"><span style=\"vertical-align: inherit\">Mastering exploration versus exploitation<\/span><\/li>\n<\/ul>\n<h3 data-sourcepos=\"28:1-28:30\"><span style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/h3>\n<ul data-sourcepos=\"30:1-36:0\">\n<li data-sourcepos=\"30:1-30:32\"><span style=\"vertical-align: inherit\">Artificial Intelligence Researchers and Academics<\/span><\/li>\n<li data-sourcepos=\"31:1-31:40\"><span style=\"vertical-align: inherit\">Game developers and simulation engineers<\/span><\/li>\n<li data-sourcepos=\"32:1-32:56\"><span style=\"vertical-align: inherit\">Graduate students in artificial intelligence and machine learning<\/span><\/li>\n<li data-sourcepos=\"33:1-33:40\"><span style=\"vertical-align: inherit\">Data scientists and machine learning engineers<\/span><\/li>\n<li data-sourcepos=\"34:1-34:36\"><span style=\"vertical-align: inherit\">Beginners interested in machine learning<\/span><\/li>\n<li data-sourcepos=\"35:1-36:0\"><span style=\"vertical-align: inherit\">Software developers looking to explore artificial intelligence<\/span><\/li>\n<\/ul>\n<p data-sourcepos=\"37:1-37:117\"><span style=\"vertical-align: inherit\">Note: Persian equivalents for specialized words have not been used to provide a deeper understanding of the concepts for the Persian-speaking audience.<\/span><\/p>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Introduction to Reinforcement Learning (RL) Course Specifications<\/span><\/h3>\n<ul>\n<li><span style=\"vertical-align: inherit\">Publisher:&nbsp; <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/deep-reinforcement-learning-pytorch\/\" target=\"_blank\" rel=\"noopener\"><span style=\"vertical-align: inherit\">Udemy<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Instructor:&nbsp; <\/span><a class=\"ud-btn ud-btn-large ud-btn-link ud-heading-md ud-text-sm ud-instructor-links\" href=\"https:\/\/downloadlynet.ir\/tag\/maxime-vandegar\/\" data-position=\"1\"><span class=\"ud-btn-label\"><span style=\"vertical-align: inherit\">Maxime Vandegar<\/span><\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Training level: Beginner to advanced<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Training duration: 7 hours and 26 minutes<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of lessons: 37<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Course syllabus in 2024\/12<\/span><\/h3>\n<h2>&nbsp;<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-948640 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/12\/Introduction-to-Reinforcement-Learning-RL1.png\" alt=\"Introduction to Reinforcement Learning (RL)\" width=\"802\" height=\"338\"><\/h2>\n<h3><span style=\"vertical-align: inherit\">Prerequisites for the Introduction to Reinforcement Learning (RL) course<\/span><\/h3>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\">\n<ul>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\">Basic Machine Learning Knowledge<\/li>\n<\/ul>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<h2><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-948639 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/12\/Introduction-to-Reinforcement-Learning-RL.png\" alt=\"Introduction to Reinforcement Learning (RL)\" width=\"844\" height=\"324\"><\/h2>\n<h3><span style=\"vertical-align: inherit\">Sample course video<\/span><\/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-148078-1\"><video class=\"wp-video-shortcode\" id=\"video-148078-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Introduction_to_Reinforcement_Learning_RL_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Introduction_to_Reinforcement_Learning_RL_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Introduction_to_Reinforcement_Learning_RL_Downloadly.ir.mp4?nocache=1786109652482\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Introduction_to_Reinforcement_Learning_RL_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<div>\n<h3><span style=\"vertical-align: inherit\">Installation Guide<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">After Extract, view with your favorite player.<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Subtitles: None<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 720p<\/span><\/p>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Udemy_Introduction_to_Reinforcement_Learning_RL_2024-11.part1_Downloadly.ir.rar?nocache=1786109651\"><span style=\"vertical-align: inherit\">Download Part 1 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Udemy_Introduction_to_Reinforcement_Learning_RL_2024-11.part2_Downloadly.ir.rar?nocache=1786109651\"><span style=\"vertical-align: inherit\">Download Part 2 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Udemy_Introduction_to_Reinforcement_Learning_RL_2024-11.part3_Downloadly.ir.rar?nocache=1786109651\"><span style=\"vertical-align: inherit\">Download Part 3 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Udemy_Introduction_to_Reinforcement_Learning_RL_2024-11.part4_Downloadly.ir.rar?nocache=1786109651\"><span style=\"vertical-align: inherit\">Download Part 4 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Udemy_Introduction_to_Reinforcement_Learning_RL_2024-11.part5_Downloadly.ir.rar?nocache=1786109651\"><span style=\"vertical-align: inherit\">Download Part 5 \u2013 42 MB<\/span><\/a><\/p>\n<p><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3><span style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">4.04 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Introduction to Reinforcement Learning (RL) course. This course introduces you to the fascinating world of Deep Reinforcement Learning. This compreh<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[67819,67820,67821,67822,67823,67824],"class_list":["post-7412","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-course-introduction-to-reinforcement-learning-rl","dgi_tag-download-course-introduction-to-reinforcement-learning-rl","dgi_tag-download-introduction-to-reinforcement-learning-rl","dgi_tag-free-download-introduction-to-reinforcement-learning-rl","dgi_tag-free-introduction-to-reinforcement-learning-rl","dgi_tag-maxime-vandegar"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/7412","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\/7412\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=7412"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=7412"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=7412"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}