The technology relates to controllers for lighter-than-air vehicles using deep reinforcement learning. A method for generating an objective-directed controller for an aerial vehicle includes defining an action space for an objective-directed controller, providing a set of feature vectors and the action space as input to a simulation module, training, by a learning module, the objective-directed controller according to a reward function correlated with the desired objective, evaluating the trained objective-directed controller, and storing high performing trained objective-directed controller.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Controllers for Lighter-Than-Air (LTA) Vehicles Using Deep Reinforcement Learning


    Beteiligte:

    Erscheinungsdatum :

    17.06.2021


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS




    Large lighter-than-air vehicles

    Mayer, N. J. | NTRS | 1979


    Large lighter-than-air vehicles

    MAYER, N. | AIAA | 1979


    Remotely Piloted Lighter-Than-Air Vehicles

    Onda, M. / University of Bristol | British Library Conference Proceedings | 1993