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Growing Artificial Neural Networks for Control: the Role of Neuronal Diversity
Artificial neural networks (ANNs), on the other hand, are traditionally optimized in the space of weights.
Structurally Flexible Neural Networks: Evolving the Building Blocks for General Agents
Artificial neural networks used for reinforcement learning are structurally rigid, meaning that each optimized parameter of the network is tied to its specific placement in the network structure.
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