{"id":337,"date":"2021-06-30T11:24:36","date_gmt":"2021-06-30T10:24:36","guid":{"rendered":"https:\/\/toshareproject.it\/artmakerblog\/?p=337"},"modified":"2021-06-30T11:24:36","modified_gmt":"2021-06-30T10:24:36","slug":"playing-a-neural-networks-version-of-gta-v-gan-theft-auto","status":"publish","type":"post","link":"https:\/\/toshareproject.it\/artmakerblog\/playing-a-neural-networks-version-of-gta-v-gan-theft-auto\/","title":{"rendered":"Playing a Neural Network&#8217;s version of GTA V: GAN Theft Auto"},"content":{"rendered":"<p>*This isn&#8217;t too surprising if you&#8217;ve been watching AI master games like chess and go, and this works on similar principles. \u00a0But it&#8217;s still startling to see an AI simulate a computer game without using any of the computer game&#8217;s software.<\/p>\n<p>&nbsp;<\/p>\n<p>*Instead, it just has a huge database of how the game visually behaves on a screen, and it can generate play action in real time using a neural net as a &#8220;simulator.&#8221; \u00a0Except that game simulators simulate the code of other games. \u00a0This one doesn&#8217;t even bother with the code &#8212; it just simulates the way the game appears through a massive statistical study of the behavior of its pixels.<\/p>\n<p>*I wish I could explain this better, but I don&#8217;t think the proper language for this has been invented yet.<\/p>\n<p>****<\/p>\n<p><strong>by sentdex<\/strong><\/p>\n<p><strong>GAN Theft Auto is a Generative Adversarial Network that recreates the Grand Theft Auto 5 environment. It is created using a GameGAN fork based on NVIDIA&#8217;s GameGAN research.<\/strong><\/p>\n<p><strong>With GAN Theft Auto, the neural network *is* the environment and you can play within it.<\/strong><\/p>\n<p><strong>Github: https:\/\/github.com\/sentdex\/GANTheftAuto\/<\/strong><\/p>\n<p><strong>Unboxing and reviewing the DGX Station A100 80GB: https:\/\/www.youtube.com\/watch?v=0mAes&#8230;<\/strong><\/p>\n<p><strong>Neural Networks from Scratch book: https:\/\/nnfs.io<\/strong><\/p>\n<p><strong>Channel membership: https:\/\/www.youtube.com\/channel\/UCfzl&#8230;<\/strong><br \/>\n<strong>Discord: https:\/\/discord.gg\/sentdex<\/strong><br \/>\n<strong>Reddit: https:\/\/www.reddit.com\/r\/sentdex\/ <\/strong><br \/>\n<strong>Support the content: https:\/\/pythonprogramming.net\/support&#8230;<\/strong><br \/>\n<strong>Twitter: https:\/\/twitter.com\/sentdex<\/strong><br \/>\n<strong>Instagram: https:\/\/instagram.com\/sentdex<\/strong><br \/>\n<strong>Facebook: https:\/\/www.facebook.com\/pythonprogra&#8230;<\/strong><br \/>\n<strong>Twitch: https:\/\/www.twitch.tv\/sentdex<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<div class=\"arve\" data-mode=\"normal\" data-oembed=\"1\" data-provider=\"youtube\" id=\"arve-youtube-udpy5rqvow069ea722e14ed5057192738\" style=\"max-width:900px;\" itemscope itemtype=\"http:\/\/schema.org\/VideoObject\">\n<span class=\"arve-inner\"><br \/>\n<span class=\"arve-embed arve-embed--has-aspect-ratio\"><br \/>\n<span class=\"arve-ar\" style=\"padding-top:56.200000%\"><\/span><br \/>\n<meta itemprop=\"embedURL\" content=\"https:\/\/www.youtube-nocookie.com\/embed\/udPY5rQVoW0?feature=oembed&amp;iv_load_policy=3&amp;modestbranding=1&amp;rel=0&amp;autohide=1&amp;playsinline=0&amp;autoplay=0\"><br \/>\n<iframe loading=\"lazy\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen class=\"arve-iframe fitvidsignore\" data-arve=\"arve-youtube-udpy5rqvow069ea722e14ed5057192738\" data-src-no-ap=\"https:\/\/www.youtube-nocookie.com\/embed\/udPY5rQVoW0?feature=oembed&amp;iv_load_policy=3&amp;modestbranding=1&amp;rel=0&amp;autohide=1&amp;playsinline=0&amp;autoplay=0\" frameborder=\"0\" height=\"505.8\" sandbox=\"allow-scripts allow-same-origin allow-presentation allow-popups allow-popups-to-escape-sandbox\" scrolling=\"no\" src=\"https:\/\/www.youtube-nocookie.com\/embed\/udPY5rQVoW0?feature=oembed&#038;iv_load_policy=3&#038;modestbranding=1&#038;rel=0&#038;autohide=1&#038;playsinline=0&#038;autoplay=0\" width=\"900\"><\/iframe><\/p>\n<p><\/span><\/p>\n<p><\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>*This isn&#8217;t too surprising if you&#8217;ve been watching AI master games like chess and go, and this works on similar principles. \u00a0But it&#8217;s still startling to see an AI simulate a computer game without using any of the computer game&#8217;s software. &nbsp; *Instead, it just has a huge database of how the game visually behaves [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-337","post","type-post","status-publish","format-standard","hentry","category-uncategorised"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v17.0 - 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