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...

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Detalles Bibliográficos
Autores principales: Koppejan, Rogier, Whiteson, Shimon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer-Verlag 2011
Materias:
Research Paper
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

Internet

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

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