Evolving deep unsupervised convolutional networks for vision-based reinforcement learning

作者: Jan Koutník , Juergen Schmidhuber , Faustino Gomez

DOI: 10.1145/2576768.2598358

关键词: Feature vectorControl theoryDeep learningArtificial intelligenceNeuroevolutionComputer scienceArtificial neural networkConvolutional neural networkReinforcement learningMachine learningRecurrent neural network

摘要: … the edge of the track. The Visual RNN also drives better but requires networks with over 1 million … and image preprocessing— edge detection, dilation. The Robert’s edge detector it uses …

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