Real Time Strategy Games (RTSG) are a strong test bed for AI research, particularly on the subject of Unsupervised Learning. The proposed work will focus on using an Accuracy-based Learning Classifier System (XCS) as the learning mechanism for generating adaptive strategies in a Real Time Strategy Game. The performance and adaptability of the strategies and tactics developed with the XCS will be measured by facing these against static scripts on an open source game called Wargus.