Anyone who has ever driven a car on an icy road is aware of the impact the environment can have on our actions. In order to build effective plans, we must be aware of these environmental conditions and predict the effects they will have on our ability to act. We present an application of regression trees that allows a robot to learn action models through experience so that it can make similar predictions. We use this approach to allow a mobile robot to learn models to predict the effects of its navigation actions under various terrain conditions and use them in order to produce efficient plans.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Using regression trees to learn action models


    Beteiligte:
    Balac, N. (Autor:in) / Gaines, D.M. (Autor:in) / Fisher, D. (Autor:in)


    Erscheinungsdatum :

    2000-01-01


    Format / Umfang :

    554175 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    On full regression decision trees

    Genrikhov, I. E. / Djukova, E. V. / Zhuravlev, V. I. | British Library Online Contents | 2017


    Learning Random Model Trees for Regression

    Li, C. / Li, H. | British Library Online Contents | 2011


    Learning Random Model Trees for Regression

    Li, Chaoqun / Li, Hongwei | British Library Online Contents | 2011