Corpus ID: 17294324

Chess Neighborhoods , Function Combination , and Reinforcement Learning 1 Chess Neighborhoods , Function Combination , and Reinforcement Learning 5 REHUW

@inproceedings{US2000ChessN,
  title={Chess Neighborhoods , Function Combination , and Reinforcement Learning 1 Chess Neighborhoods , Function Combination , and Reinforcement Learning 5 REHUW},
  author={A. U.S.},
  year={2000}
}

A. U.S.

Published 2000

Over the years, various research projects have attempted to develop a chess program that learns to play well given little prior knowledge beyond the rules of the game. Early on it was recognized that the key would be to adequately represent the relationships between the pieces and to evaluate the strengths or weaknesses of such relationships. As such, representations have developed, including a graph-based model. In this paper we extend the work on graph representation to a precise type of… CONTINUE READING

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