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Learning to Fly Simple and Robust

Dorian Šuc and Ivan Bratko and Claude Sammut (2004) Learning to Fly Simple and Robust. In: 15th European Conference on Machine Learning, ECML-2004.

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    We report on new experiments with machine learning in the reconstruction of human sub-cognitive skill. The particular problem considered is to generate a clone of a human pilot performing a flying task on a simulated aircraft. The work presented here uses the human behaviour to create constraints for a search process that results in a controller -- pilot's clone. Experiments in this paper indicate that this approach, called ``indirect controllers'', results in pilot clones that are, in comparison with those obtained with traditional ``direct controllers'', simpler, more robust and easier to understand. An important feature of indirect controllers in this paper is the use of qualitative constraints.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: machine learning, qualitative reasoning, behavioural cloning, skill reconstruction, dynamic system control
    Language of Content: English
    Related URLs:
    URLURL Type
    http://ai.fri.uni-lj.si/dorian/pub/papers.htmAlternative location
    http://www.informatik.uni-trier.de/~ley/db/conf/ecml/ecml2004.htmlAlternative location
    http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(id=516877849)Alternative location
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Divisions: Faculty of Computer and Information Science > Artificial Intelligence Laboratory
    Item ID: 180
    Date Deposited: 22 Apr 2005
    Last Modified: 06 Dec 2013 11:52
    URI: http://eprints.fri.uni-lj.si/id/eprint/180

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