creators_name: Bredeche, Nicolas
creators_name: Hugues, Louis
editors_name: Berthouze, Luc
editors_name: Kaplan, Frédéric
editors_name: Kozima, Hideki
editors_name: Yano, Hiroyuki
editors_name: Konczak, Jürgen
editors_name: Metta, Giorgio
editors_name: Nadel, Jacqueline
editors_name: Sandini, Giulio
editors_name: Stojanov, Georgi
editors_name: Balkenius, Christian
type: confposter
datestamp: 2006-07-23
lastmod: 2011-03-11 08:56:31
metadata_visibility: show
title: Speeding up Learning with Dynamic Environment
Shaping in Evolutionary Robotics
ispublished: pub
subjects: comp-sci-mach-learn
subjects: comp-sci-robot
full_text_status: public
keywords: evolutionary robotics, developmental robot, task decomposition, dynamic fitness
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.
date: 2005
date_type: published
volume: 123
publisher: Lund University Cognitive Studies
pagerange: 137-138
refereed: TRUE
citation:   Bredeche, Nicolas and Hugues, Louis  (2005) Speeding up Learning with Dynamic Environment Shaping in Evolutionary Robotics.  [Conference Poster]     
document_url: http://cogprints.org/4989/1/bredeche.pdf