ML Anthology

Learning to Play the Game of Chess

Sebastian Thrun
NeurIPS 1994 pp. 1069-1076
/neurips/1994/thrun1994neurips-learning/

Abstract

This paper presents NeuroChess, a program which learns to play chess from the final outcome of games. NeuroChess learns chess board evaluation functions, represented by artificial neural networks. It integrates inductive neural network learning, temporal differencing, and a variant of explanation-based learning. Performance results illustrate some of the strengths and weaknesses of this approach.

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Cite

Text

Thrun. "Learning to Play the Game of Chess." Neural Information Processing Systems, 1994.

Markdown

[Thrun. "Learning to Play the Game of Chess." Neural Information Processing Systems, 1994.](https://mlanthology.org/neurips/1994/thrun1994neurips-learning/)

BibTeX

@inproceedings{thrun1994neurips-learning,
  title     = {{Learning to Play the Game of Chess}},
  author    = {Thrun, Sebastian},
  booktitle = {Neural Information Processing Systems},
  year      = {1994},
  pages     = {1069-1076},
  url       = {https://mlanthology.org/neurips/1994/thrun1994neurips-learning/}
}