Application of Reinforcement Learning with Recurrent Neural Networks for Optimal Scheduling of Flow-Shop Systems Under Uncertainty

Daniel Rangel-Martinez, Luis A. Ricardez-Sandoval. Application of Reinforcement Learning with Recurrent Neural Networks for Optimal Scheduling of Flow-Shop Systems Under Uncertainty. In 9th International Conference on Control, Decision and Information Technologies, CoDIT 2023, Rome, Italy, July 3-6, 2023. pages 1-6, IEEE, 2023. [doi]

@inproceedings{RangelMartinezR23,
  title = {Application of Reinforcement Learning with Recurrent Neural Networks for Optimal Scheduling of Flow-Shop Systems Under Uncertainty},
  author = {Daniel Rangel-Martinez and Luis A. Ricardez-Sandoval},
  year = {2023},
  doi = {10.1109/CoDIT58514.2023.10284480},
  url = {https://doi.org/10.1109/CoDIT58514.2023.10284480},
  researchr = {https://researchr.org/publication/RangelMartinezR23},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {9th International Conference on Control, Decision and Information Technologies, CoDIT 2023, Rome, Italy, July 3-6, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-1140-2},
}