@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.} }