A Neuroevolution Approach to General Atari Game Playing

@article{Hausknecht2014ANA,
  title={A Neuroevolution Approach to General Atari Game Playing},
  author={Matthew J. Hausknecht and Joel Lehman and Risto Miikkulainen and Peter Stone},
  journal={IEEE Transactions on Computational Intelligence and AI in Games},
  year={2014},
  volume={6},
  pages={355-366}
}
This paper addresses the challenge of learning to play many different video games with little domain-specific knowledge. Specifically, it introduces a neuroevolution approach to general Atari 2600 game playing. Four neuroevolution algorithms were paired with three different state representations and evaluated on a set of 61 Atari games. The neuroevolution agents represent different points along the spectrum of algorithmic sophistication - including weight evolution on topologically fixed neural… CONTINUE READING

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