Corpus ID: 33081038

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

@article{Silver2017MasteringCA,
  title={Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm},
  author={D. Silver and Thomas Hubert and Julian Schrittwieser and Ioannis Antonoglou and Matthew Lai and A. Guez and Marc Lanctot and L. Sifre and D. Kumaran and T. Graepel and T. Lillicrap and K. Simonyan and D. Hassabis},
  journal={ArXiv},
  year={2017},
  volume={abs/1712.01815}
}
The game of chess is the most widely-studied domain in the history of artificial intelligence. [...] Key Result Starting from random play, and given no domain knowledge except the game rules, AlphaZero achieved within 24 hours a superhuman level of play in the games of chess and shogi (Japanese chess) as well as Go, and convincingly defeated a world-champion program in each case.Expand
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