Multi-emitter MAP-elites: improving quality, diversity and data efficiency with heterogeneous sets of emitters

Antoine Cully. Multi-emitter MAP-elites: improving quality, diversity and data efficiency with heterogeneous sets of emitters. In Francisco Chicano, Krzysztof Krawiec, editors, GECCO '21: Genetic and Evolutionary Computation Conference, Lille, France, July 10-14, 2021. pages 84-92, ACM, 2021. [doi]

@inproceedings{Cully21,
  title = {Multi-emitter MAP-elites: improving quality, diversity and data efficiency with heterogeneous sets of emitters},
  author = {Antoine Cully},
  year = {2021},
  doi = {10.1145/3449639.3459326},
  url = {https://doi.org/10.1145/3449639.3459326},
  researchr = {https://researchr.org/publication/Cully21},
  cites = {0},
  citedby = {0},
  pages = {84-92},
  booktitle = {GECCO '21: Genetic and Evolutionary Computation Conference, Lille, France, July 10-14, 2021},
  editor = {Francisco Chicano and Krzysztof Krawiec},
  publisher = {ACM},
  isbn = {978-1-4503-8350-9},
}