The field of machine learning has advanced tremendously in the past few years, and canny game makers are constantly finding new and interesting ways of applying machine learning techniques to build better games.<\/p>\n
At the 2019\u00a0Game Developers Conference<\/a>\u00a0in March and you’ll have the chance to dig in and\u00a0spend a full day learning from some of the best and brightest in the game industry at the brand new GDC 2019 Machine Learning Tutorial<\/a>!<\/p>\n This is just one of many great\u00a0Bootcamps and Tutorials<\/a>\u00a0scheduled\u00a0during the\u00a0first two days of GDC (Monday and Tuesday, March 18th and 19th\u00a0this year), albeit one that\u00a0offers an up-to-the-minute, laser-focused\u00a0look at the art and business of making and running games that make smart use of machine learning techniques.<\/p>\n For example, in “Beating Wallhacks Using Deep Learning With Limited Resources<\/a>” Nexon Korea machine learning engineer Junsik Hwang\u00a0will show you\u00a0how Nexon Korea has developed a real-time automated wallhack detection system using Convolutional Neural Networks with a small dataset and a single GPU.<\/p>\n By using Class Activation Maps, the network finds suspicious areas within a screenshot that improves the credibility of the model’s performance and makes debugging datasets much more efficient. Model Interpretability plays a crucial role in incorporating deep learning with the existing abuser control policies. As a result, the system now detects abusers in real-time and reduces manual inspection labor significantly!<\/p>\n And in “Simple Head Pose Estimation for Dialogue Wheels<\/a>“, Remedy lead character technical artist\u00a0Antti Herva will show you a machine learning project aimed at\u00a0helping animators liven up dialogue wheel interactions for an upcoming Remedy game project..<\/p>\n Make time to catch this talk if you want an\u00a0introduction on performance capture, selecting image features and machine learning models, annotating data, training a neural network and finally evaluating the results in-game!<\/p>\n Plus, Electronic Arts’ Fabio Zinno will be presenting a Machine Learning Tutorial talk on “From Motion Matching to Motion Synthesis, and All the Hurdles In Between<\/a>” that will give you an expert overview of\u00a0state-of-the-art ML techniques (Phase-Functioned Neural Networks\u00a0and Mode-Adaptive Neural Networks) that use neural networks to synthesize motion from examples. Zinno\u00a0aims to\u00a0explicitly call\u00a0out important architecture and implementation details, and spark a discussion on how this technology can be used in a modern game development pipeline.<\/p>\n And you won’t want to miss “Smart Bots for Better Games: Reinforcement Learning in Production<\/a>“, a presentation from Ubisoft data scientist Olivier Delalleau\u00a0about\u00a0various reinforcement learning algorithms and how they may help game studios create better games, more efficiently.<\/p>\n Besides AI development, the ability to train bots to play games during production opens up promising opportunities for automated testing and design assistance. But applying reinforcement learning to modern games brings up many challenges, illustrated\u00a0through several examples, with a focus on recent experiments within Ubisoft games. Whether you want to directly learn from pixels to minimize the integration burden, or entirely rewrite your engine to make it more “reinforcement learning-friendly”, this presentation is packed with practical tips to help you reach your goal without (too many) tears.<\/p>\n For more details on these and all other\u00a0announced talks head over to the\u00a0online\u00a0GDC 2019\u00a0Session Scheduler<\/a>, where you can plan out your week at the show.<\/p>\n Bring your team to GDC! Register a group of 10 or more and save 10 percent\u00a0on conference passes. Learn more\u00a0here<\/a>.\u200b<\/strong><\/em><\/p>\n For more details on\u00a0GDC 2019\u00a0visit the show’s\u00a0official website<\/a>, or subscribe to regular updates via\u00a0Facebook<\/a>,\u00a0Twitter<\/a>, or\u00a0RSS<\/a>.<\/strong><\/em><\/p>\n Gamasutra and GDC are sibling organizations under parent company Informa<\/strong><\/em><\/p>\n","protected":false},"excerpt":{"rendered":" The field of machine learning has advanced tremendously in the past few years, and canny game makers are constantly finding new and interesting ways of applying machine learning techniques to build better games. At the 2019\u00a0Game Developers Conference\u00a0in March and you’ll have the chance to dig in and\u00a0spend a full day learning from some of […]<\/p>\n","protected":false},"author":2,"featured_media":76410,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-76409","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/posts\/76409","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/comments?post=76409"}],"version-history":[{"count":0,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/posts\/76409\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/media\/76410"}],"wp:attachment":[{"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/media?parent=76409"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/categories?post=76409"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/tags?post=76409"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}