AI in Games: Csaba Szepesvári, Optimization in Reinforcement Learning
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 short clip, Csaba Szepesvári (Fellow & Canada CIFAR AI Chair – Amii; Professor – University of Alberta) 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: https://www.amii.ca/about/our-people/...
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