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Browsing Mathematics and Computer Science Faculty Research by Subject "Computer games"

Browsing Mathematics and Computer Science Faculty Research by Subject "Computer games"

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  • Schrum, Jacob; Miikkulainen, Risto (IEEE, 2009)
    Evolution is often successful in generating complex behaviors, but evolving agents that exhibit distinctly different modes of behavior under different circumstances (multi-modal behavior) is both difficult and time consuming. ...
  • Schrum, Jacob; Miikkulainen, Risto (IEEE, 2011)
    Intelligent opponent behavior helps make video games interesting to human players. Evolutionary computation can discover such behavior, especially when the game consists of a single task. However, multitask domains, in ...
  • Schrum, Jacob; Miikkulainen, Risto (IEEE, 2012)
    Intelligent opponent behavior makes video games interesting to human players. Evolutionary computation can discover such behavior, however, it is challenging to evolve behavior that consists of multiple separate tasks. ...
  • Schrum, Jacob; Miikkulainen, Risto (ACM, 2015)
    Many challenging sequential decision-making problems require agents to master multiple tasks, such as defense and offense in many games. Learning algorithms thus benefit from having separate policies for these tasks, and ...
  • Schrum, Jacob; Karpov, Igor V.; Miikkulainen, Risto (IEEE, 2011)
    The UT^2 bot, which had a humanness rating of 27.2727% in BotPrize 2010, is based on two core ideas: (1) multiobjective neuroevolution is used to learn skilled combat behavior, but filters on the available combat actions ...

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