PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Speeding up Learning with Dynamic Environment Shaping in Evolutionary Robotics
Nicolas Bredeche and Louis Hugues
In: Epigenetic Robotics, 22-24 July 2005, Nara, Japan.


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.

EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:1671
Deposited By:Nicolas Bredeche
Deposited On:28 November 2005