Self-Organisation of Neural Topologies by Evolutionary Reinforcement Learning

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Summary

EANT, “Evolutionary Acquisition of Neural Topologies”, a method that creates neural networks (NNs) by evolutionary reinforcement learning, can create NNs that are very specialised and achieve a very good performance while being relatively small.

Type
article
Published
2007-01-01
Cited by
0
References
22
Access
Open access

Keywords

Neuroevolution, Reinforcement learning, Network topology, Evolutionary acquisition of neural topologies, Artificial neural network

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