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Browsing Mathematics and Computer Science Faculty Research by Title

Browsing Mathematics and Computer Science Faculty Research by Title

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  • Schrum, Jacob; Lehman, Joel; Risi, Sebastian (ACM, 2016)
    An important challenge in neuroevolution is to evolve multimodal behavior. Indirect network encodings can potentially answer this challenge. Yet in practice, indirect encodings do not yield effective multimodal controllers. ...
  • Schrum, Jacob; Rollins, Alex C. (GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017-07)
    Previous research using evolutionary computation in Multi-Agent Systems indicates that assigning fitness based on team vs. individual behavior has a strong impact on the ability of evolved teams of artificial agents to ...
  • Anthony, Barbara M.; Reagan, Kathryn (SECEIJ, 2017-07)
    Community-engaged learning is not very common in technical fields, but including relevant projects in courses can make it feasible and successful. We present an implementation of an operations research course at a liberal ...
  • Richards, Kendall C. (Mathematics Magazine, 1993)
  • Schrum, Jacob; Gillespie, Lauren E.; Gonzalez, Gabriela R. (Proceedings of the Genetic and Evolutionary Computation Conference, 2017-07)
    Intelligent agents have a wide range of applications in robotics, video games, and computer simulations. However, fully general agents should function with as little human guidance as possible. Specifically, agents should ...
  • Anthony, Barbara M.; Picollelli, Michael E. (Springer http://link.springer.com/article/10.1007/s00373-014-1521-2, 2015)
    The domination polynomial of a graph is the polynomial whose coefficients count the number of dominating sets of each cardinality. A recent question asks which graphs are uniquely determined (up to isomorphism) by their ...
  • Schrum, Jacob; Miikkulainen, Risto (2008)
    It is difficult to discover effective behavior for NPCs automatically. For instance, evolutionary methods can learn sophisticated behaviors based on a single objective, but realistic game playing requires different ...
  • Anthony, Barbara M.; Chung, Christine (IEEE http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6831556, 2013)
    Despite only a small portion of unlimited data plan users experiencing throttling each month, it is a prominent source of complaints from users and a significant concern for mobile network operators. We propose a simple ...
  • Schrum, Jacob; Miikkulainen, Risto (IEEE, 2016)
    Ms. Pac-Man is a challenging video game in which multiple modes of behavior are required: Ms. Pac-Man must escape ghosts when they are threats and catch them when they are edible, in addition to eating all pills in each ...
  • Schrum, Jacob; McDonnell, Tyler; Andoni, Sari; Bonab, Elmira; Cheng, Sheila; Goode, Jimmie; Moore, Keith; Sellers, Gavin; Choi, Jun-Hwan (GECCO '18 Proceedings of the Genetic and Evolutionary Computation Conference, 2018-07)
    Neuroevolution is a powerful and general technique for evolving the structure and weights of artificial neural networks. Though neuroevolutionary approaches such as NeuroEvolution of Augmenting Topologies (NEAT) have been ...
  • Schrum, Jacob; Miikkulainen, Risto (ACM, 2010)
    Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applications, it is often necessary to "shape" the ...
  • Schrum, Jacob (Proceedings of the Genetic and Evolutionary Computation Conference, 2018-07)
    Tetris is a challenging puzzle game that has received much attention from the AI community, but much of this work relies on intelligent high-level features. Recently, agents played the game using low-level features (10 X ...
  • Schrum, Jacob; Volz, Vanessa; Lucas, Simon M.; Smith, Adam; Liu, Jialin; Risi, Sebastian (Proceedings of the Genetic and Evolutionary Computation Conference, 2018-07)
    Generative Adversarial Networks (GANs) are a machine learning approach capable of generating novel example outputs across a space of provided training examples. Procedural Content Generation (PCG) of levels for video games ...
  • 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 (ACM, 2014)
    Ms. Pac-Man is a challenging video game in which multiple modes of behavior are required to succeed: Ms. Pac-Man must escape ghosts when they are threats, and catch them when they are edible, in addition to eating all pills ...
  • 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. ...
  • Anthony, Barbara M. (Consortium for Computing Sciences in Colleges, 2016-12)
    While enrollments in computer science courses may be increasing overall, the recruitment and retention of women and minorities in computer science remains a pervasive problem. First Year Seminars at universities are ...
  • Richards, Kendall C. (Journal of Approximation Theory, 1998)
    Let {φk}n k=0, n<m, be a family of polynomials orthogonal with respect to the positive semi-definite bilinear form (g, h)d := 1 m Xm j=1 g(xj )h(xj ), xj := −1 + (2j − 1)/m. These polynomials are known as Gram ...
  • Richards, Kendall C. (Transactions of the American Mathematical Society, 1995)
    The authors study certain monotoneity and convexity properties of the Gaussian hypergeometric function and those of the Euler gamma function.

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