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Bandit-Based Genetic Programming

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Genetic Programming (EuroGP 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6021))

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Abstract

We consider the validation of randomly generated patterns in a Monte-Carlo Tree Search program. Our bandit-based genetic programming (BGP) algorithm, with proved mathematical properties, outperformed a highly optimized handcrafted module of a well-known computer-Go program with several world records in the game of Go.

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Hoock, JB., Teytaud, O. (2010). Bandit-Based Genetic Programming. In: Esparcia-Alcázar, A.I., Ekárt, A., Silva, S., Dignum, S., Uyar, A.Ş. (eds) Genetic Programming. EuroGP 2010. Lecture Notes in Computer Science, vol 6021. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12148-7_23

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  • DOI: https://doi.org/10.1007/978-3-642-12148-7_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12147-0

  • Online ISBN: 978-3-642-12148-7

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