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The Mario AI Project is a pioneering project that uses genetic algorithms to teach an AI agent to play Super Mario. Inspired by natural selection, the algorithms work iteratively over generations to improve the AI agent’s gameplay strategies. Every generation sees the agent’s decision-making processes like jumping and navigating obstacles guided by a unique genetic code carefully crafted for optimum performance. Simulating natural Discrimination, Interchange and Transmutation, the strategy of AI Evolution agent undergoes a constant improvement.
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Rao et al. (2024) studied this question.
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