Reinforcement learning based ground vehicle control techniques adapted to reduce energy consumption, braking, shifting, travel distance, travel time, and or the like. The reinforcement learning techniques can include training a reinforcement learning controller based on a simulated ground vehicle environment during a simulation mode, and then further training the reinforcement learning controller based on a ground vehicle environment during an operating mode of a ground vehicle.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Reinforcement Learning Based Ground Vehicle Control Techniques


    Beteiligte:
    TUZI GERTI (Autor:in) / MALEKI ALI (Autor:in) / HIRZALLAH NABIL H K (Autor:in) / MAKOWSKI MICHAEL (Autor:in) / DHANSRI NAREN REDDY (Autor:in)

    Erscheinungsdatum :

    2019-12-12


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion



    Reinforcement learning based ground vehicle control techniques

    TUZI GERTI / MALEKI ALI / HIRZALLAH NABIL H K et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Ground Vehicle Control Techniques

    MALEKI ALI / MAKOWSKI MICHAEL / DHANSRI NAREN REDDY et al. | Europäisches Patentamt | 2019

    Freier Zugriff

    Ground vehicle control techniques

    MALEKI ALI / MAKOWSKI MICHAEL / DHANSRI NAREN REDDY et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Ground Vehicle Control Techniques

    MALEKI ALI / TUZI GERTI / MAKOWSKI MICHAEL et al. | Europäisches Patentamt | 2019

    Freier Zugriff

    Hypersonic Vehicle Control Based on Deep Reinforcement Learning

    Ma, Xianlong / Hu, Weijun / Gao, Zhiqiang | Springer Verlag | 2023