Now showing items 1-2 of 2

  • Using the online cross-entropy method to learn relational policies for playing different games

    Sarjant, Samuel; Pfahringer, Bernhard; Driessens, Kurt; Smith, Tony C. (IEEE, 2011)
    By defining a video-game environment as a collection of objects, relations, actions and rewards, the relational reinforcement learning algorithm presented in this paper generates and optimises a set of concise, human-readable ...
  • Using weighted nearest neighbor to benefit from unlabeled data

    Driessens, Kurt; Reutemann, Peter; Pfahringer, Bernhard; Leschi, Claire (Springer, Berlin, 2006)
    The development of data-mining applications such as textclassification and molecular profiling has shown the need for machine learning algorithms that can benefit from both labeled and unlabeled data, where often the ...

Kurt Driessens has 5 co-authors in Research Commons.

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