%T Evolving and coevolving computer go players using neuroevolution.
%X 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.
%C Oct 19, 2011 - Oct 20, 2011
%D 2011
%A Wester Edison Zela Moraya
%A Jose Gabriel Zato Recellado
%L upm20977
%K Go, evolution, Coevolution, Neuroevolution, SANE, SANEi, Evolución, Coevolución, Neuroevolución.
%I Informatica