Neuro-Evolution Through Augmenting Topologies Applied To Evolving Neural Networks To Play Othello

Abstract

Many different approaches to game playing have been suggested including alpha-beta search, temporal difference learning, genetic algorithms, and coevolution. Here, a powerful new algorithm for neuroevolution, Neuro-Evolution for Augmenting Topologies (NEAT), is adapted to the game playing domain. Evolution and coevolution were used to try and develop neural… (More)

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