The present disclosure describes systems and methods that include calculating, via a reinforcement learning agent (RLA) controller, a plurality of state-action values based on sensor data representing an observed state, wherein the RLA controller utilizes a deep neural network (DNN) and generating, via a fuzzy controller, a plurality of linear models mapping the plurality of state-action values to the sensor data.


    Access

    Download


    Export, share and cite



    Title :

    Interpreting data of reinforcement learning agent controller



    Publication date :

    2023-01-24


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    B60T Bremsanlagen für Fahrzeuge oder Teile davon , VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF / 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 / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V



    INTERPRETING DATA OF REINFORCEMENT LEARNING AGENT CONTROLLER

    NAGESHRAO SUBRAMANYA / JALES COSTA BRUNO SIELLY / FILEV DIMITAR PETROV | European Patent Office | 2020

    Free access


    Improve PID controller through reinforcement learning

    Qin, Yunxiao / Zhang, Weiguo / Shi, Jingping et al. | IEEE | 2018



    Smart Traffic Light Controller using Deep Reinforcement Learning

    Abhishek, A / Nayak, Prathvik / Hegde, Krishna P et al. | IEEE | 2022