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Conference Papers Year : 2010

Bandit-Based Genetic Programming

Jean-Baptiste Hoock
  • Function : Author
  • PersonId : 861616
Machine Learning and Optimisation
Olivier Teytaud
Laboratoire de Recherche en Informatique
Machine Learning and Optimisation
CV

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.

Domains

Computer Science and Game Theory [cs.GT]
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https://inria.hal.science/inria-00452887

Submitted on : Tuesday, June 14, 2011-1:33:23 PM

Last modification on : Monday, February 12, 2024-9:48:04 AM

Long-term archiving on: Sunday, December 4, 2016-3:41:01 PM

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Dates and versions

inria-00452887 , version 1 (15-02-2010)
inria-00452887 , version 2 (14-06-2011)

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  • HAL Id : inria-00452887 , version 2

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Jean-Baptiste Hoock, Olivier Teytaud. Bandit-Based Genetic Programming. 13th European Conference on Genetic Programming, Apr 2010, Istanbul, Turkey. ⟨inria-00452887v2⟩

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