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GP-gammon: Using genetic programming to evolve backgammon players

Lecture Notes in Computer Science (2005) 3447 132-142
DOI: 10.1007/978-3-540-31989-4_12
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Abstract

We apply genetic programming to the evolution of strategies for playing the game of backgammon. Pitted in a 1000-game tournament against a standard benchmark player - Pubeval - our best evolved program wins 58% of the games, the highest verifiable result to date. Moreover, several other evolved programs attain win percentages not far behind the champion, evidencing the repeatability of our approach. © Springer-Verlag Berlin Heidelberg 2005.

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APA

Azaria, Y., & Sipper, M. (2005). GP-gammon: Using genetic programming to evolve backgammon players. In Lecture Notes in Computer Science (Vol. 3447, pp. 132–142). Springer Verlag. https://doi.org/10.1007/978-3-540-31989-4_12

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