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
15.01.2020
Patent
Elektronische Ressource
Englisch
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 |
DEEP REINFORCEMENT LEARNING FOR A GENERAL FRAMEWORK FOR MODEL-BASED LONGITUDINAL CONTROL
Europäisches Patentamt | 2020
|ArXiv | 2025
|Europäisches Patentamt | 2021
|