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Genetic algorithm learns to walk
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This project is a genetic algorithm that applies forces to the two legs of the robot. In the first generation, the forces, their durations and their intervals are random. At each new generation, the best chromosomes (the ones that walked the most distance) are selected for mating and new generation is created. After 80 generations, the robot is starting to walk with some intelligence.
poorya piroozan
Game developer/AI enthusiast - Programmer
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