AI in Video Games: Optimization in Reinforcement Learning with Csaba Szepesvári

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.

Csaba Szepesvári

Fellow & Canada CIFAR AI Chair – Amii; Professor – University of Alberta

In this short clip, Amii Fellow Csaba Szepesvári talks reinforcement learning, an area of AI research and application that is rapidly growing in popularity. He highlights some of the areas where open problems still exist in the field and his work on developing algorithms that make efficient use of simulators in order to come up with good policies that can be executed in the real world. Learn more about Csaba's work.

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