The Player Kernel: Learning Team Strengths Based on Implicit Player Contributions

5 Sep 2016Lucas MaystreVictor KristofAntonio J. González FerrerMatthias Grossglauser

In this work, we draw attention to a connection between skill-based models of game outcomes and Gaussian process classification models. The Gaussian process perspective enables a) a principled way of dealing with uncertainty and b) rich models, specified through kernel functions... (read more)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.