"4989","Speeding up Learning with Dynamic Environment Shaping in Evolutionary 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.","http://cogprints.org/4989/","Bredeche, Nicolas and Hugues, Louis","Berthouze, Luc and Kaplan, Frédéric and Kozima, Hideki and Yano, Hiroyuki and Konczak, Jürgen and Metta, Giorgio and Nadel, Jacqueline and Sandini, Giulio and Stojanov, Georgi and Balkenius, Christian","       <span class=\"person_name\">Bredeche, Nicolas</span> and <span class=\"person_name\">Hugues, Louis</span>     (2005)  <a href=\"http://cogprints.org/4989/\"><em>Speeding up Learning with Dynamic Environment Shaping in Evolutionary Robotics.</em></a>       [Conference Poster]           ","","2005"