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Balancing Bot using Neuroevolution
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We train a controller for a balancing bot using neuroevolution. A genetic algorithm adjusts the weights of a neural network used to control the motors of the balancing bot.
This experiment uses fixed length encoding and does not optimize the topology of the network.
This experiment uses fixed length encoding and does not optimize the topology of the network.
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