Playing Games with Intelligence

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• Prof Simon M. Lucas, School of Computer Science and Electronic Engineering, The University of Essex
• Monday 16 November 2009, 16:00-17:00
• UG40, School of Computer Science.

If you have a question about this talk, please contact Per Kristian Lehre.

Games provide a most satisfying and illuminating environment in which to study computational intelligence. This talk will begin with an overview of the field including some sample applications and the main learning algorithms: evolution and temporal difference learning. Despite each of these having a long history, there is still little agreement on which works best when, and why. I’ll attempt to shed some more light on this including some insights from information theory, and the effects of the choice of function approximator. I’ll also discuss some recent results on Monte Carlo Tree Search, and how this relates to game learning.

This talk is part of the Artificial Intelligence and Natural Computation seminars series.

This talk is included in these lists:

• Artificial Intelligence and Natural Computation seminars
• Computer Science Departmental Series
• Computer Science Distinguished Seminars
• UG40, School of Computer Science
• computer sience

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