schlably: A Python framework for deep reinforcement learning based scheduling experiments

Constantin Waubert de Puiseau, Jannik Peters 0002, Christian Dörpelkus, Hasan Tercan, Tobias Meisen. schlably: A Python framework for deep reinforcement learning based scheduling experiments. SoftwareX, 22:101383, May 2023. [doi]

@article{PuiseauPDTM23,
  title = {schlably: A Python framework for deep reinforcement learning based scheduling experiments},
  author = {Constantin Waubert de Puiseau and Jannik Peters 0002 and Christian Dörpelkus and Hasan Tercan and Tobias Meisen},
  year = {2023},
  month = {May},
  doi = {10.1016/j.softx.2023.101383},
  url = {https://doi.org/10.1016/j.softx.2023.101383},
  researchr = {https://researchr.org/publication/PuiseauPDTM23},
  cites = {0},
  citedby = {0},
  journal = {SoftwareX},
  volume = {22},
  pages = {101383},
}