X-TCS: Accuracy-based Learning Classifier System Robotics
Matthew Studley, Larry Bull · 2005
Most research in the held of learning classifier systems today concentrates on the accuracy-based XCS. This paper presents initial results from an extension of XCS that operates in continuous environments on a physical robot. This is compared with a similar extension based upon the simpler ZCS. The new system is shown to be capable of near optimal performance in a simple robotic task. To the best of our knowledge, this is the first application of an accuracy-based LCS to controlling a physical agent in the real world without a priori discretization.