Neuroevolution in Games: State of the Art and Open Challenges

@article{Risi2017NeuroevolutionIG,
  title={Neuroevolution in Games: State of the Art and Open Challenges},
  author={Sebastian Risi and Julian Togelius},
  journal={IEEE Transactions on Computational Intelligence and AI in Games},
  year={2017},
  volume={9},
  pages={25-41}
}
This paper surveys research on applying neuroevolution (NE) to games. In neuroevolution, artificial neural networks are trained through evolutionary algorithms, taking inspiration from the way biological brains evolved. We analyze the application of NE in games along five different axes, which are the role NE is chosen to play in a game, the different types of neural networks used, the way these networks are evolved, how the fitness is determined and what type of input the network receives. The… CONTINUE READING

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