Dota 2, MOBA's and the Future of AI Research | AI and Games #27

AI and Games is a crowdfunded show and needs your support. You can help fund this series on Paypal, KoFi and Patreon (where you can get access to additional content). http://www.paypal.me/AIandGames http://www.ko-fi.com/AIandGames http://www.patreon.com/ai_and_games You can follow AI and Games on Facebook and Twitter: http://www.facebook.com/AIandGames http://www.twitter.com/AIandGames Learn more about the making of this video on Patreon. https://www.patreon.com/ai_and_games A written version of this video is available on both AIandGames.com and Medium: https://medium.com/@t2thompson/are-mobas-the-future-of-ai-research-de17000d2210 https://aiandgames.com/ai-research-moba/ -- Multiplayer Online Battle Arena's (MOBAs) are one of the biggest genres in modern gaming. I take a look at the potential MOBAs have to become the next big thing in AI research and some of the work that's already been achieved in academia and corporate R&D. -- Research papers highlighted in this video: Off The Beaten Lane: AI Challenges In MOBAs Beyond Player Control Michael Cook, Adam Summerville & Simon Colton https://arxiv.org/pdf/1706.03122.pdf Draft-Analysis of the Ancients: Predicting Draft Picks in DotA 2 Using Machine Learning Adam Summerville, Michael Cook & Ben Steenhuisen https://aaai.org/ocs/index.php/AIIDE/AIIDE16/paper/view/14075 Data-driven Recommendation Systems for Multiplayer Online Battle Arenas Rohit Bhattacharya & Azwad Sabik http://azwadsabik.com/projects/representation_learning_report.pdf Skill-Based Differences in Spatio-Temporal Team Behavior in Defence of The Ancients 2 (DotA 2) Anders Drachen, Matthew Yancey, John Maguire, Derrek Chu, Iris Yuhui Wang, Tobias Mahlmann, Matthias Schubert & Diego Klabjan https://arxiv.org/ftp/arxiv/papers/1603/1603.07738.pdf Esports Analytics Through Encounter Detection Matthias Schubert, Anders Drachen & Tobias Mahlmann http://www.sloansportsconference.com/wp-content/uploads/2016/02/1458.pdf Identifying Patterns in Combat