A system for controlling a vehicle includes a processor configured to execute instructions stored on a non-transitory computer readable medium. The system also includes a sensor coupled to the processor and configured to receive sensory input. The system also includes a controller coupled to the processor and configured to control the vehicle. The processor is further configured to: create a synthetic image based on the sensory input; derive a deep reinforcement learning (RL) policy using the synthetic image, wherein the deep RL policy determines a longitudinal control for the vehicle; and instruct the controller to control the vehicle based on the deep RL policy.


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    Titel :

    DEEP REINFORCEMENT LEARNING FOR A GENERAL FRAMEWORK FOR MODEL-BASED LONGITUDINAL CONTROL


    Beteiligte:
    PATHAK SHASHANK (Autor:in) / BAG SUVAM (Autor:in) / NADKARNI VIJAY JAYANT (Autor:in)

    Erscheinungsdatum :

    09.01.2020


    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 / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / G06K Erkennen von Daten , RECOGNITION OF DATA



    DEEP REINFORCEMENT LEARNING FOR A GENERAL FRAMEWORK FOR MODEL-BASED LONGITUDINAL CONTROL

    PATHAK SHASHANK / BAG SUVAM / NADKARNI VIJAY JAYANT | Europäisches Patentamt | 2020

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