This article presents an extended case study in the application of neuroevolution to generalized simulated helicopter hovering, an important challenge ...
This paper considers several neuroevolutionary approaches to discovering robust controllers for a generalized version of the problem used in the 2008 ...
This paper considers several neuroevolutionary approaches to discovering robust controllers for a generalized version of the problem used in the 2008 ...
ABSTRACT Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers sev- eral neuroevolutionary ...
An extended case study in the application of neuroevolution to generalized simulated helicopter hovering, an important challenge problem for reinforcement ...
Jul 12, 2009 · We consider a neuroevolutionary approach [25], which uses evolutionary computation [6] to optimize a pop- ulation of neural networks. Given its ...
ABSTRACT. Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers sev- eral neuroevolutionary ...
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to ...
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to ...
[PDF] Neuroevolution Reinforcement Learning - UT Computer Science
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Koppejan and S. Whiteson, Neuroevolutionary reinforcement learning for generalized control of simulated helicopters, Evolutionary Intelligence, 4:219–241 (2011) ...