Techniques are disclosed for training one or more cost functions of an autonomous vehicle (“AV”) control system based on difference between data generated using the AV control system and manual driving data. In many implementations, manual driving data captures action(s) of a vehicle controlled by a manual driver. Additionally or alternatively, multiple AV control systems can be evaluated by comparing deviations for each AV control system, where the deviations are determined using the same set of manual driving data.


    Access

    Download


    Export, share and cite



    Title :

    Training machine learning model for controlling autonomous vehicle


    Contributors:

    Publication date :

    2023-10-10


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    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



    CONTROLLING AN AUTONOMOUS VEHICLE WITH DEEP REINFORCEMENT LEARNING

    Folkers, Andreas / Rick, Matthias / Büskens, Christof | British Library Conference Proceedings | 2019


    Controlling an Autonomous Vehicle with Deep Reinforcement Learning

    Folkers, Andreas / Rick, Matthias / Buskens, Christof | IEEE | 2019


    Autonomous vehicle fleet model training and testing

    KENTLEY-KLAY TIMOTHY DAVID | European Patent Office | 2021

    Free access

    Autonomous vehicle and method for controlling the autonomous vehicle

    CRONIN JOHN / HUFFINES CHRISTOPHER MICHAEL | European Patent Office | 2017

    Free access

    Autonomous vehicle and method for controlling the autonomous vehicle

    CRONIN JOHN / WILSON DYLAN | European Patent Office | 2017

    Free access