All Outputs (3)

X-TCS: Accuracy-based learning classifier system robotics (2005)
Journal Article
Studley, M., & Bull, L. (2005). X-TCS: Accuracy-based learning classifier system robotics. https://doi.org/10.1109/CEC.2005.1554954

Although most learning classifier system (LCS) research uses the accuracy-based XCS, it had never been used to control a physical robot before. In comparison to purely evolutionary or purely reinforcement learning approaches, an LCS should be faster... Read More about X-TCS: Accuracy-based learning classifier system robotics.

On the use of rule-sharing in learning classifier system ensembles (2005)
Presentation / Conference
Bull, L., Studley, M., Bagnall, T., & Whittley, I. (2005, June). On the use of rule-sharing in learning classifier system ensembles. Paper presented at The 2005 IEEE Congress on Evolutionary Computation

Attribute selection methods for filtered attribute subspace based bagging with injected randomness (FASBIR) (2005)
Presentation / Conference
Whittley, I., Bagnall, A., Bull, L., Pettipher, M., Studley, M., & Tekiner, F. (2005, April). Attribute selection methods for filtered attribute subspace based bagging with injected randomness (FASBIR). Paper presented at 2005 SIAM International Conference on Data Mining, Newport Beach, California