TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play

@article{Tesauro1994TDGammonAS,
  title={TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play},
  author={G. Tesauro},
  journal={Neural Computation},
  year={1994},
  volume={6},
  pages={215-219}
}
  • G. Tesauro
  • Published 1994
  • Computer Science
  • Neural Computation
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results, based on the TD() reinforcement learning algorithm (Sutton 1988. [...] Key Result Furthermore, when a set of hand-crafted features is added to the network's input representation, the result is a truly staggering level of performance: the latest version of TD-Gammon is now estimated to play at a strong master level that is extremely close to the world's best human players…Expand
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