{"id":10896,"date":"2026-08-10T10:25:01","date_gmt":"2026-08-10T10:25:01","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-advanced-ai-deep-reinforcement-learning-in-pytorch-v2-2026-2\/"},"modified":"2026-08-10T10:25:01","modified_gmt":"2026-08-10T10:25:01","slug":"udemy-advanced-ai-deep-reinforcement-learning-in-pytorch-v2-2026-2","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-advanced-ai-deep-reinforcement-learning-in-pytorch-v2-2026-2\/","title":{"rendered":"Udemy \u2013 Advanced AI: Deep Reinforcement Learning in PyTorch (v2) 2026-2"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\"><strong>Advanced AI: Deep Reinforcement Learning in PyTorch (v2)<\/strong> course. This comprehensive and up-to-date course covers basic to advanced concepts of reinforcement learning (RL) and is designed for students, researchers, and AI engineers. Participants will learn RL fundamentals such as rewards, value functions, the Bellman equation, and Markov decision processes (MDPs), and will implement key algorithms such as Q-Learning, temporal differential learning (TD), and Monte Carlo methods in Python and the Gymnasium library. The course will also teach you how to build Deep Q-Networks (DQN) using techniques such as experience replay and goal networks, and explore advanced methods such as Policy Gradient and A2C. One of the highlights is implementing AI for Atari games with the Stable Baselines 3 library. Additionally, topics such as policy optimization, entropy regularization, and practical real-world applications of RL are covered. With up-to-date content, clear explanations, and practical examples, this course equips participants with the skills needed to build intelligent, adaptive agents.<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">What you will learn<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Review of the basics of reinforcement learning: MDPs, Bellman equation, Q-Learning.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Theory and implementation of Q\/DQN deep learning.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Theory and implementation of policy gradient and A2C (Advantage Actor-Critic) methods.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Application of DQN and A2C in Atari environments (e.g. Breakout, Pong, Asteroids).<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Using A2C to build a trading algorithm for multi-period portfolio optimization (VIP members only).<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Machine learning and artificial intelligence enthusiasts who want to explore one of the most exciting areas of artificial intelligence, reinforcement learning.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Software developers and engineers looking to build intelligent agents that learn from experience.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Few financial professionals are interested in using RL in portfolio optimization and algorithmic trading.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Students and researchers in artificial intelligence, computer science, or data science who want to gain hands-on experience with real-world RL implementations.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Game developers who are curious about using RL to train AI for complex behaviors and adaptive gameplay.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Robotics specialists who want to learn how agents can make sequential decisions in physical environments.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Data scientists who want to expand their toolbox beyond supervised learning and unsupervised learning.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Traders and investors looking to use advanced AI methods in automated trading strategies.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Entrepreneurs and enthusiasts who are eager to experiment with advanced AI models and build projects that learn and adapt over time.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Professionals who are transitioning into AI\/machine learning and are looking for real, presentable projects to add to their resume.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Advanced AI: Deep Reinforcement Learning in PyTorch (v2) Course Details<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Publisher:&nbsp; <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/deep-reinforcement-learning-in-pytorch\/?couponCode=24T4MT300625G1\" 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-medium ud-btn-link ud-heading-sm ud-text-sm ud-instructor-links\" href=\"https:\/\/downloadlynet.ir\/tag\/lazy-programmer-inc\/\" data-position=\"1\"><span class=\"ud-btn-label\"><span style=\"vertical-align: inherit\">Lazy Programmer Inc.<\/span><\/span><\/a><span style=\"vertical-align: inherit\"> , <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/lazy-programmer-team\/\"><span style=\"vertical-align: inherit\">Lazy Programmer Team<\/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: 15 hours and 43 minutes<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of lessons: 66<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course Content<\/span><\/h3>\n<p style=\"text-align: center\"><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-1042056 aligncenter\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/11\/Advanced-AI-Deep-Reinforcement-Learning-in-PyTorch-v2-Content.png\" alt=\"Advanced AI: Deep Reinforcement Learning in PyTorch (v2)\" width=\"841\" height=\"818\"><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Prerequisites for the Advanced AI: Deep Reinforcement Learning in PyTorch (v2) course<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Reinforcement Learning fundamentals: MDPs, Bellman Equation, Monte Carlo Methods, Temporal Difference Learning<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Undergraduate STEM math: calculus, probability, statistics<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Python programming and numerical computing (Numpy, Matplotlib, etc.)<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Deep Learning fundamentals: Convolutional neural networks, hyperparameter optimization, etc.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course image<\/span><\/h3>\n<p style=\"text-align: center\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1042057 aligncenter\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/11\/Advanced-AI-Deep-Reinforcement-Learning-in-PyTorch-v2.png\" alt=\"Advanced AI: Deep Reinforcement Learning in PyTorch (v2)\" width=\"849\" height=\"331\"><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><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-168607-1\"><video class=\"wp-video-shortcode\" id=\"video-168607-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Advanced_AI_Deep_Reinforcement_Learning_in_PyTorch_v2_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Advanced_AI_Deep_Reinforcement_Learning_in_PyTorch_v2_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Advanced_AI_Deep_Reinforcement_Learning_in_PyTorch_v2_Downloadly.ir.mp4?nocache=1786139370635\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Advanced_AI_Deep_Reinforcement_Learning_in_PyTorch_v2_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 dir=\"ltr\" style=\"text-align: left\">\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: English<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 1080p<\/span><\/p>\n<p><strong>Changes:<\/strong><\/p>\n<p>Version 2025\/11 compared to 2025\/5 has increased by 7 minutes in duration. English subtitles were also added to the course.<\/p>\n<p>Version 2026\/2 compared to 2025\/11 has increased by 1 lesson and 1 minute in duration. The course quality has also been increased from 720p to 1080p.<\/p>\n<\/div>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<h4><strong>Downloadly<\/strong><\/h4>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Advanced_AI_Deep_Reinforcement_Learning_in_PyTorch_v2_2026_2.part1_Downloadly.ir.rar?nocache=1786139368\">Download Part 1 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Advanced_AI_Deep_Reinforcement_Learning_in_PyTorch_v2_2026_2.part2_Downloadly.ir.rar?nocache=1786139368\">Download Part 2 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Advanced_AI_Deep_Reinforcement_Learning_in_PyTorch_v2_2026_2.part3_Downloadly.ir.rar?nocache=1786139368\">Download Part 3 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Advanced_AI_Deep_Reinforcement_Learning_in_PyTorch_v2_2026_2.part4_Downloadly.ir.rar?nocache=1786139368\">Download Part 4 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Advanced_AI_Deep_Reinforcement_Learning_in_PyTorch_v2_2026_2.part5_Downloadly.ir.rar?nocache=1786139368\">Download Part 5 \u2013 400 MB<\/a><\/p>\n<h4><strong>Rapidgator<\/strong><\/h4>\n<p><a href=\"https:\/\/rapidgator.net\/file\/5aa295057086011c8226506a6e6be3ec\/Udemy_Advanced_AI_Deep_Reinforcement_Learning_in_PyTorch_v2_2026_2.part1_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download Part 1 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/rapidgator.net\/file\/9e63a724dbb52c6fd608007e7f95dc38\/Udemy_Advanced_AI_Deep_Reinforcement_Learning_in_PyTorch_v2_2026_2.part2_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download Part 2 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/rapidgator.net\/file\/62bc608e68ab5543443ff5585a179f76\/Udemy_Advanced_AI_Deep_Reinforcement_Learning_in_PyTorch_v2_2026_2.part3_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download Part 3 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/rapidgator.net\/file\/4ce82b6fe94a2aa3c6dc224ee3cfcf9f\/Udemy_Advanced_AI_Deep_Reinforcement_Learning_in_PyTorch_v2_2026_2.part4_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download Part 4 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/rapidgator.net\/file\/e1d9e5707b0c821c4e15cf995ba7672e\/Udemy_Advanced_AI_Deep_Reinforcement_Learning_in_PyTorch_v2_2026_2.part5_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download Part 5 \u2013 400 MB<\/a><\/p>\n<h5>Password file(s): <a>www.downloadly.ir<\/a><\/h5>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">8.40 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Advanced AI: Deep Reinforcement Learning in PyTorch (v2) course. This comprehensive and up-to-date course covers basic to advanced concepts of reinf<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[91463,91464,91465,91466,91467,91468,35050,59269],"class_list":["post-10896","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-advanced-ai-deep-reinforcement-learning-in-pytorch-v2","dgi_tag-course-advanced-ai-deep-reinforcement-learning-in-pytorch-v2","dgi_tag-download-advanced-ai-deep-reinforcement-learning-in-pytorch-v2","dgi_tag-download-course-advanced-ai-deep-reinforcement-learning-in-pytorch-v2","dgi_tag-free-advanced-ai-deep-reinforcement-learning-in-pytorch-v2","dgi_tag-free-download-advanced-ai-deep-reinforcement-learning-in-pytorch-v2","dgi_tag-lazy-programmer-inc","dgi_tag-lazy-programmer-team"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/10896","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\/10896\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=10896"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=10896"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=10896"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}