Evolving Adaptive Neural Networks with and without Adaptive Synapses

@inproceedings{Stanley2003EvolvingAN,
  title={Evolving Adaptive Neural Networks with and without Adaptive Synapses},
  author={Kenneth O. Stanley},
  year={2003}
}
A potentially powerful application of evolutionary computation (EC) is to evolve neural networks for automated control tasks. However, in such tasks environments can be unpredictable and fixed control policies may fail when conditions suddenly change. Thus, there is a need to evolve neural networks that can adapt, i.e. change their control policy dynamically as conditions change. In this paper, we examine two methods for evolving neural networks with dynamic policies. The first method evolves… CONTINUE READING
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