The Impact of State Representation on Approximate Q-Learning for a Selection Hyper-heuristic

Augusto Lopez Dantas, Aurora T. R. Pozo. The Impact of State Representation on Approximate Q-Learning for a Selection Hyper-heuristic. In João Carlos Xavier Junior, Ricardo Araújo Rios, editors, Intelligent Systems - 11th Brazilian Conference, BRACIS 2022, Campinas, Brazil, November 28 - December 1, 2022, Proceedings, Part I. Volume 13653 of Lecture Notes in Computer Science, pages 45-60, Springer, 2022. [doi]

@inproceedings{DantasP22,
  title = {The Impact of State Representation on Approximate Q-Learning for a Selection Hyper-heuristic},
  author = {Augusto Lopez Dantas and Aurora T. R. Pozo},
  year = {2022},
  doi = {10.1007/978-3-031-21686-2_4},
  url = {https://doi.org/10.1007/978-3-031-21686-2_4},
  researchr = {https://researchr.org/publication/DantasP22},
  cites = {0},
  citedby = {0},
  pages = {45-60},
  booktitle = {Intelligent Systems - 11th Brazilian Conference, BRACIS 2022, Campinas, Brazil, November 28 - December 1, 2022, Proceedings, Part I},
  editor = {João Carlos Xavier Junior and Ricardo Araújo Rios},
  volume = {13653},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-21686-2},
}