publication . Other literature type . Part of book or chapter of book . 2006

Efficient non-linear control through neuroevolution

Faustino Gomez; Jürgen Schmidhuber; Risto Miikkulainen;
Open Access
  • Published: 01 Jan 2006
  • Publisher: Springer Berlin Heidelberg
Many complex control problems are not amenable to traditional controller design. Not only is it difficult to model real systems, but often it is unclear what kind of behavior is required. Reinforcement learning (RL) has made progress through direct interaction with the task environment, but it has been difficult to scale it up to large and partially observable state spaces. In recent years, neuroevolution, the artificial evolution of neural networks, has shown promise in tasks with these two properties. This paper introduces a novel neuroevolution method called CoSyNE that evolves networks at the level of weights. In the most extensive comparison of RL methods t...
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Part of book or chapter of book
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Part of book or chapter of book . 2006
Provider: Crossref
Other literature type . 2006
Provider: Datacite
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