AI in Video Games: ML for Optimization & Game Theory with Kevin Leyton-Brown

Video games have long been a domain explored by AI researchers, and researchers from Amii have a rich history producing advancements that can help across all aspects of game design, development and delivery.

In this series of short talks, you'll hear from Fellows and Canada CIFAR AI Chairs at Amii as they discuss their areas of research, highlight some interesting projects and make connections between AI research and the field of video games.

Kevin Leyton-Brown

Canada CIFAR AI Chair – Amii; Professor – University of British Columbia

Kevin Leyton-Brown uses machine learning to think about game theory – or human strategic behaviour. In this talk, Kevin discusses potential applications of this area of interest, such as multiplayer modelling to anticipate interactions and helping to inform changes in monetization strategies. He also highlights the importance of algorithmic optimization with applicability to market design.

Learn more about Kevin's work.

Learn how Amii advances world-leading artificial intelligence and machine learning research: visit our Research page.

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