Evolving and coevolving computer go players using neuroevolution.

Zela Moraya, Wester Edison and Zato Recellado, Jose Gabriel (2011). Evolving and coevolving computer go players using neuroevolution.. In: "COPCOM 2011 1st International Workshop on Coping with Complexity", Cluj-Napoca, Romania, Oct 19, 2011 - Oct 20, 2011.

Description

Title: Evolving and coevolving computer go players using neuroevolution.
Author/s:
  • Zela Moraya, Wester Edison
  • Zato Recellado, Jose Gabriel
Item Type: Presentation at Congress or Conference (Article)
Event Title: COPCOM 2011 1st International Workshop on Coping with Complexity
Event Dates: Cluj-Napoca, Romania
Event Location: Oct 19, 2011 - Oct 20, 2011
Date: 2011
Subjects:
Freetext Keywords: Go, evolution, Coevolution, Neuroevolution, SANE, SANEi, Evolución, Coevolución, Neuroevolución.
Faculty: Facultad de Informática (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The Go game is ancient very complex game with simple rules which still is a challenge for the AI.This work cover some neuroevolution techniques used in reinforcement learning applied to the GO game as SANE (Symbiotic Adaptive Neuro-Evolution) and presents a variation to this method with the intention of evolving better strategies in the game. The computer Go player based in SANE is evolved againts a knowed player which creates some problem as determinism for which is proposed the co-evolution. Finally, it is introduced an algorithm to co-evolve two populations of neurons to evolve better computer Go players.

More information

Item ID: 20977
DC Identifier: http://oa.upm.es/20977/
OAI Identifier: oai:oa.upm.es:20977
Official URL: http://www.complexity2011.org
Deposited by: Memoria Investigacion
Deposited on: 07 Nov 2013 17:58
Last Modified: 21 Apr 2016 11:04
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