Detection of Important States through an Iterative Q-value Algorithm for Explainable Reinforcement Learning

Rudy Milani, Maximilian Moll, Renato De Leone. Detection of Important States through an Iterative Q-value Algorithm for Explainable Reinforcement Learning. In Tung X. Bui, editor, 57th Hawaii International Conference on System Sciences, HICSS 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024. pages 1401-1408, ScholarSpace, 2024. [doi]

@inproceedings{MilaniML24,
  title = {Detection of Important States through an Iterative Q-value Algorithm for Explainable Reinforcement Learning},
  author = {Rudy Milani and Maximilian Moll and Renato De Leone},
  year = {2024},
  url = {https://hdl.handle.net/10125/106551},
  researchr = {https://researchr.org/publication/MilaniML24},
  cites = {0},
  citedby = {0},
  pages = {1401-1408},
  booktitle = {57th Hawaii International Conference on System Sciences, HICSS 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024},
  editor = {Tung X. Bui},
  publisher = {ScholarSpace},
  isbn = {978-0-9981331-7-1},
}