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Comparison of Imitation Learning approaches on Super Mario Bros

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Uploaded on Nov 1, 2010

With each method we learn a 4 linear classfiers (SVM) that predicts whether we should press each button (left,right,speed,jump) given the current image features (each image is discretized in a 22x22 grid centered around mario, 14 binary features describe the content of each cell, and we predict given a history of these features over the last 4 images)

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