Corpus ID: 8776684

Learning of Piece Values for Chess Variants

@inproceedings{Droste2008LearningOP,
  title={Learning of Piece Values for Chess Variants},
  author={Sacha Droste and J. F{\"u}rnkranz},
  year={2008}
}
  • Sacha Droste, J. Fürnkranz
  • Published 2008
  • Computer Science
  • In this paper we describe a set of experiments for learning a the values of chess pieces for the popular chess variants crazyhouse, suicide, and atomic chess. We follow an established methodology that relies on reinforcement learning from self-games to learn piece values and piece-square tables for these chess variants. The learned piece values are quite different from those of standard chess, and in several ways surprising, but they generally outperform those that have been previously used in… CONTINUE READING
    3 Citations
    Learning to Play: Reinforcement Learning and Games
    • 7
    Razvoj programa za igranje 1-2-3 šaha
    • PDF
    Reinforcement Learning in Games
    • I. Szita
    • Computer Science
    • Reinforcement Learning
    • 2012
    • 35

    References

    SHOWING 1-10 OF 34 REFERENCES
    Machine learning in games: a survey
    • 69
    Experiments in Parameter Learning Using Temporal Differences
    • 45
    • PDF
    Reinforcement learning and chess
    • 11
    Learning to Play Chess Using Temporal Differences
    • 119
    • PDF
    KnightCap: A Chess Programm That Learns by Combining TD(lambda) with Game-Tree Search
    • 78
    • PDF
    First Results from Using Temporal Difference Learning in Shogi
    • 26
    TDLeaf(lambda): Combining Temporal Difference Learning with Game-Tree Search
    • 29
    • Highly Influential
    • PDF
    Temporal difference learning applied to game playing and the results of application to Shogi
    • 23
    Some studies in machine learning using the game of checkers. II: recent progress
    • 583
    • Highly Influential
    Some Studies in Machine Learning Using the Game of Checkers
    • 2,204
    • PDF