20 search results - page 1 / 4 » HyperNEAT controlled robots learn how to drive on roads in s... |
CEC
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract— In this paper we describe simulation of autonomous robots controlled by recurrent neural networks, which are evolved through indirect encoding using HyperNEAT algorithm...
ICANNGA
2009
Springer
14 years 2 months ago
2009
Springer
In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm w...
ICANN
2009
Springer
14 years 2 months ago
2009
Springer
In this paper we present neuro-evolution of neural network controllers for mobile agents in a simulated environment. The controller is obtained through evolution of hypercube encod...
GECCO
2009
Springer
14 years 5 days ago
2009
Springer
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
ROBOCUP
2004
Springer
14 years 27 days ago
2004
Springer
We show how to apply learning methods to two robotics problems, namely the optimization of the on-board controller of an omnidirectional robot, and the derivation of a model of the...