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Matthew de Wet
Undergraduate Alumni
Matt worked on neuroevolution in games, and completed an honors thesis on automatic techniques for avoiding premature convergence. He went on to work at Microsoft Game Studios.
Publications
Avoiding Premature Convergence in NeuroEvolution by Broadening the Evolutionary Search
2011
Matthew de Wet, Technical Report HR-11-02, Department of Computer Science, The University of Texas at Austin.
Projects
Learning Strategic Behavior in Sequential Decision Tasks
2009 - 2014
Areas of Interest
Evolutionary Computation
Game Playing
Neuroevolution
Labs
Formerly affiliated with
Neural Networks