A system (100) for controlling a vehicle (10) includes a processor (104) configured to execute instructions stored on a non-transitory computer readable medium (106). The system also includes a sensor (112) coupled to the processor and configured to receive sensory input (202). The system also includes a controller (102) coupled to the processor and configured to control the vehicle. The processor is further configured to: create a synthetic image (204, 308) based on the sensory input; derive a deep reinforcement learning (RL) policy (206, 314) using the synthetic image, wherein the deep RL policy determines a longitudinal control for the vehicle (316); and instruct the controller to control the vehicle based on the deep RL policy (208, 316).
DEEP REINFORCEMENT LEARNING FOR A GENERAL FRAMEWORK FOR MODEL-BASED LONGITUDINAL CONTROL
TIEFENVERSTÄRKUNGSLERNEN FÜR EINEN ALLGEMEINEN RAHMEN ZUR MODELLBASIERTEN LÄNGSREGELUNG
APPRENTISSAGE PAR RENFORCEMENT PROFOND POUR UNE STRUCTURE GÉNÉRALE DE COMMANDE LONGITUDINALE SUR LA BASE DE MODÈLE
2020-01-15
Patent
Electronic Resource
English
IPC: | G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / 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 / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
DEEP REINFORCEMENT LEARNING FOR A GENERAL FRAMEWORK FOR MODEL-BASED LONGITUDINAL CONTROL
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