Proceedings of the 10th annual conference on Genetic and evolutionary computation
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
The Journal of Machine Learning Research
Evolving Efficient Connection for the Design of Artificial Neural Networks
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
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Go is one notable board game where computer competence still trails behind that of human experts. In the past, neural-network-based approaches have shown promise. In this paper, the ESP variant of the SANE neuro-evolution algorithm was applied to go, and an alternate network architecture featuring subnetworks specialized for certain board regions was implemented. ESP produced simpler networks that performed just as well as the more complex ones produced by SANE in other studies. Having region-specialist subnetworks improved the already great performance marginally. However, both the simple network and the network with specialists failed to scale up to board sizes larger than 7x7.