David Pätzel
Title
Cited by
Cited by
Year
A survey of formal theoretical advances regarding XCS
D Pätzel, A Stein, J Hähner
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
102019
An algebraic description of XCS
D Pätzel, J Hähner
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
42018
SupRB: A Supervised Rule-based Learning System for Continuous Problems
M Heider, D Pätzel, J Hähner
arXiv preprint arXiv:2002.10295, 2020
12020
Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizations
M Heider, D Pätzel, J Hähner
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
2020
XCS as a reinforcement learning approach to automatic test case prioritization
L Rosenbauer, A Stein, R Maier, D Pätzel, J Hähner
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
2020
An overview of LCS research from IWLCS 2019 to 2020
D Pätzel, A Stein, M Nakata
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
2020
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Articles 1–6