We describe an approach to creating a controller for The Open Car Racing Simulator (TORCS), based on The Simulated Car Racing Championship (SCRC) client, using unsupervised evolutionary learning for recurrent neural networks. Our method of training the recurrent neural network controllers relies on combining the components of the singular value decomposition of two different neural network connection matrices.


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    Title :

    Training RNN simulated vehicle controllers using the SVD and evolutionary algorithms


    Contributors:


    Publication date :

    2018-06-01


    Size :

    675796 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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