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DAGM
2007
Springer

Efficient Learning of Neural Networks with Evolutionary Algorithms

8 years 7 months ago
Efficient Learning of Neural Networks with Evolutionary Algorithms
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation operators, starting from a minimal structure. Their parameters are optimised using CMA-ES. EANT2 can create NNs that are very specialised; they achieve a very good performance while being relatively small. This can be seen in experiments where our method competes with a different one, called NEAT, to create networks that control a robot in a visual servoing scenario.
Nils T. Siebel, Jochen Krause, Gerald Sommer
Added 14 Aug 2010
Updated 14 Aug 2010
Type Conference
Year 2007
Where DAGM
Authors Nils T. Siebel, Jochen Krause, Gerald Sommer
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