A method of generating training data for training a neural network, method of training a neural network and using a neural network for autonomous operations, related devices and systems. In one aspect, a neural network for autonomous operation of an object in an environment is trained. Policy values are generated based on a sample data set. An approximate action-value function is generated from the policy values. A set of approximated policy values is generated using the approximate action-value function for all states in the sample data set for all possible actions. A training target for the neural network is calculated based on the approximated policy values. A training error is calculated as the difference between the training target and the policy value for the corresponding state-action pair in the sample data set. At least some of the parameters of the neural network are updated to minimize the training error.


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    Titel :

    Method of generating training data for training a neural network, method of training a neural network and using neural network for autonomous operations


    Beteiligte:
    YAO HENGSHUAI (Autor:in)

    Erscheinungsdatum :

    27.06.2023


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / 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 / G06G Analogrechner , ANALOGUE COMPUTERS / G06V / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS




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