A genetic fuzzy system for interpretable and parsimonious reinforcement learning policies

Jordan T. Bishop, Marcus Gallagher, Will N. Browne. A genetic fuzzy system for interpretable and parsimonious reinforcement learning policies. In Krzysztof Krawiec, editor, GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume, Lille, France, July 10-14, 2021. pages 1630-1638, ACM, 2021. [doi]

@inproceedings{BishopGB21,
  title = {A genetic fuzzy system for interpretable and parsimonious reinforcement learning policies},
  author = {Jordan T. Bishop and Marcus Gallagher and Will N. Browne},
  year = {2021},
  doi = {10.1145/3449726.3463198},
  url = {https://doi.org/10.1145/3449726.3463198},
  researchr = {https://researchr.org/publication/BishopGB21},
  cites = {0},
  citedby = {0},
  pages = {1630-1638},
  booktitle = {GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume, Lille, France, July 10-14, 2021},
  editor = {Krzysztof Krawiec},
  publisher = {ACM},
  isbn = {978-1-4503-8351-6},
}