NEAT (NeuroEvolution of Augmenting Topologies) is utilized for evolving the topology of neural networks, combining aspects of neuroevolution with genetic algorithms, and can be applied to reinforcement learning.
My implementation of NEAT is written in C# and based on the original paper written by K. O. Stanley and R. Miikkulainen.
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