According to one aspect, a system for generating a reinforcement learning (RL) policy with guided meta RL is provided. The system may include a processor and a memory. The memory may store one or more instructions. The processor may execute one or more of the instructions stored on the memory to perform one or more acts, actions, and/or steps, such as generating an initial RL policy for an ego-vehicle based on an intelligent driver model (IDM), generating a set of RL guiding policies for a set of social agents based on the initial RL policy and a set of preferences, generating a meta-RL guided policy based on the set of RL guiding policies, and generating a RL policy with guided meta RL for the ego-vehicle based on the meta-RL guided policy and the IDM.


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    Title :

    REINFORCEMENT LEARNING (RL) POLICY WITH GUIDED META RL


    Contributors:
    LEE KANGHOON (author) / LI JIACHEN (author) / ISELE DAVID F (author) / PARK JINKYOO (author)

    Publication date :

    2025-02-27


    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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