The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements

Rebekka Olsson Omslandseter, Lei Jiao 0001, Xuan Zhang 0007, Anis Yazidi, B. John Oommen. The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements. In Guodong Long, Xinghuo Yu 0001, Sen Wang 0001, editors, AI 2021: Advances in Artificial Intelligence - 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings. Volume 13151 of Lecture Notes in Computer Science, pages 507-518, Springer, 2022. [doi]

@inproceedings{OmslandseterJZY22,
  title = {The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements},
  author = {Rebekka Olsson Omslandseter and Lei Jiao 0001 and Xuan Zhang 0007 and Anis Yazidi and B. John Oommen},
  year = {2022},
  doi = {10.1007/978-3-030-97546-3_41},
  url = {https://doi.org/10.1007/978-3-030-97546-3_41},
  researchr = {https://researchr.org/publication/OmslandseterJZY22},
  cites = {0},
  citedby = {0},
  pages = {507-518},
  booktitle = {AI 2021: Advances in Artificial Intelligence - 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings},
  editor = {Guodong Long and Xinghuo Yu 0001 and Sen Wang 0001},
  volume = {13151},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-97546-3},
}