info:oai:cogprints.org:4989info:ofi/fmt:xml:xsd:oai_dc Speeding up Learning with Dynamic Environment Shaping in Evolutionary Robotics Bredeche, Nicolas Hugues, Louis Machine Learning Robotics 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. Lund University Cognitive Studies Berthouze, Luc Kaplan, Frédéric Kozima, Hideki Yano, Hiroyuki Konczak, Jürgen Metta, Giorgio Nadel, Jacqueline Sandini, Giulio Stojanov, Georgi Balkenius, Christian 2005 Conference Poster PeerReviewed application/pdf http://cogprints.org/4989/1/bredeche.pdf Bredeche, Nicolas and Hugues, Louis (2005) Speeding up Learning with Dynamic Environment Shaping in Evolutionary Robotics. [Conference Poster] http://cogprints.org/4989/