The disclosed technology provides solutions for improving autonomous vehicle (AV) testing and in particular, for improving AV adversarial testing using offline reinforcement learning. In some aspects, the disclosed technology includes a process for improving AV adversarial testing, including steps for receiving driving data from a database, the driving data representing a plurality of driving scenarios encountered by AVs and training an offline reinforcement learning agent with the driving data. Further, the process includes steps for receiving a driving scenario from the database, calculating a first safety score for the driving scenario, providing the driving scenario to an offline reinforcement learning model, and generating a synthetic scenario for simulating navigation of an AV, the synthetic scenario having a second safety score that is lower than the first safety score.


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    Title :

    AUTONOMOUS VEHICLE TESTING OPTIMIZATION USING OFFLINE REINFORCEMENT LEARNING


    Contributors:
    LEE RITCHIE (author)

    Publication date :

    2024-02-15


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    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




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