Towards Learning Classifier Systems for Continuous-Valued Online Environments

摘要

Previous work has studied the use of interval representations in XCS to allow its use in continuous-valued environments. Here we compare the speed of learning of continuous-valued versions of ZCS and XCS with a simple model of an online environment.