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yaricom / goNEAT_NS

This project provides GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima

golang neat neuroevolution reinforcement-learning-algorithms artificial-neural-networks unsupervised-learning unsupervised-learning-algorithms augmenting-topologies unsupervised-machine-learning novelty-search explainable-artificial-intelligence explainable-ai modular-ai

Updated Dec 9, 2024
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yaricom / goESHyperNEAT

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The implementation of evolvable-substrate HyperNEAT algorithm in GO language. ES-HyperNEAT is an extension of the original HyperNEAT method for evolving large-scale artificial neural networks.

golang reinforcement-learning neat neuroevolution unsupervised-learning-algorithms hyperneat unsupervised-machine-learning artifical-neural-network explainable-artificial-intelligence modular-ai