Observing the evolution of neural networks learning to play the game of Othello

A study was conducted to find out how game-playing strategies for Othello (also known as reversi) can be learned without expert knowledge. The approach used the coevolution of a fixed-architecture neural-network-based evaluation function combined with a standard minimax search algorithm. Comparisons...

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Veröffentlicht in:IEEE transactions on evolutionary computation 2005-06, Vol.9 (3), p.240-251
Hauptverfasser: Chong, S.Y., Tan, M.K., White, J.D.
Format: Artikel
Sprache:eng
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