York CS Seminars
General Game Playing AI
Sam Devlin (York DC Labs and CS Department)
https://www-users.cs.york.ac.uk/~devlin/
The history of Artificial Intelligence (AI) is intertwined with achievements in playing specific games. For example, DeepBlue’s defeat of chess champion Garry Kasparov, the solution to Checkers and the believable behaviour of the Xenomorph in Alien Isolation. Motivated by the latest success in this area (DeepMind’s recent defeat of a European champion Go player), I will discuss open grand challenges in game playing AI with a focus on a proposed framework for developing agents that can autonomously learn to play any digital game. The talk will also touch upon the mutually beneficial relationship we have established with the games industry, and how it could be used to enable high impact research across the whole department.
Biography: Sam Devlin received an MEng degree in Computer Systems and Software Engineering from the University of York in 2009. In 2013, he completed his PhD on multi-agent reinforcement learning at the University of York and visited Oregon State University funded by a Santander International Connections Award. His research interests are focussed on machine learning, data mining and artificial intelligence. He was a Research Associate on the NEMOG project from 2013-2015, working on data mining for collective game intelligence. He is now a transitional fellow
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