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- W2944745888 abstract "In this work, we describe an experiment with a neural network controlled non-playing video game character. The adventure game updates the neural network weights with neuro-evolution, where a genetic algorithm changes the weights. In this experiment, we have a five layer neural network, and feed the previous output back as an input, along with other inputs from the game. We examine how the previous output affects the evolution, and analyze the moves of the more successful weight sets." @default.
- W2944745888 created "2019-05-16" @default.
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- W2944745888 date "2019-04-18" @default.
- W2944745888 modified "2023-10-14" @default.
- W2944745888 title "Training a Neural Network Controlled Non-playing Character with Previous Output Awareness" @default.
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- W2944745888 doi "https://doi.org/10.1145/3299815.3314459" @default.
- W2944745888 hasPublicationYear "2019" @default.
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