@misc{cogprints4989,
volume = {123},
editor = {Luc Berthouze and Fr{\'e}d{\'e}ric Kaplan and Hideki Kozima and Hiroyuki Yano and J{\"u}rgen Konczak and Giorgio Metta and Jacqueline Nadel and Giulio Sandini and Georgi Stojanov and Christian Balkenius},
title = {Speeding up Learning with Dynamic Environment
Shaping in Evolutionary Robotics},
author = {Nicolas Bredeche and Louis Hugues},
publisher = {Lund University Cognitive Studies},
year = {2005},
pages = {137--138},
keywords = {evolutionary robotics, developmental robot, task decomposition, dynamic fitness},
url = {http://cogprints.org/4989/},
abstract = {Evolutionary Robotics is a promising approach
to automatically build efficient controllers
using stochastic optimization techniques.
However, works in this area are often
confronted to complex environments where
even simple tasks cannot be achieved. In
the scope of this paper, we propose an approach
based on explicit problem decomposition
and dynamic environment shaping to
ease the learning task.}
}