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Neuroevolutionary reinforcement learning for generalized control of simulated helicopters
This article presents an extended case study in the application of neuroevolution to generalized simulated helicopter hovering, an important challenge problem for reinforcement learning. While neuroevolution is well suited to coping with the domain’s complex transition dynamics and high-dimensional...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer-Verlag
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3214260/ https://www.ncbi.nlm.nih.gov/pubmed/22162982 http://dx.doi.org/10.1007/s12065-011-0066-z |