title: Speeding up Learning with Dynamic Environment Shaping in Evolutionary Robotics
creator: Bredeche, Nicolas
creator: Hugues, Louis
subject: Machine Learning
subject: Robotics
description: 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.
publisher: Lund University Cognitive Studies
contributor: Berthouze, Luc
contributor: Kaplan, Frédéric
contributor: Kozima, Hideki
contributor: Yano, Hiroyuki
contributor: Konczak, Jürgen
contributor: Metta, Giorgio
contributor: Nadel, Jacqueline
contributor: Sandini, Giulio
contributor: Stojanov, Georgi
contributor: Balkenius, Christian
date: 2005
type: Conference Poster
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/4989/1/bredeche.pdf
identifier:   Bredeche, Nicolas and Hugues, Louis  (2005) Speeding up Learning with Dynamic Environment Shaping in Evolutionary Robotics.  [Conference Poster]     
relation: http://cogprints.org/4989/