Multi-Agent Reinforcement Learning Tool for Job Shop Scheduling Problems

Jessica Coto Palacio, Yailen Martínez Jiménez, Ann Nowé. Multi-Agent Reinforcement Learning Tool for Job Shop Scheduling Problems. In Katrien Beuls, Bart Bogaerts 0001, Gianluca Bontempi, Pierre Geurts, Nick Harley, Bertrand Lebichot, Tom Lenaerts, Gilles Louppe, Paul Van Eecke, editors, Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019. Volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, 2019. [doi]

@inproceedings{PalacioJN19,
  title = {Multi-Agent Reinforcement Learning Tool for Job Shop Scheduling Problems},
  author = {Jessica Coto Palacio and Yailen Martínez Jiménez and Ann Nowé},
  year = {2019},
  url = {http://ceur-ws.org/Vol-2491/demo78.pdf},
  researchr = {https://researchr.org/publication/PalacioJN19},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019},
  editor = {Katrien Beuls and Bart Bogaerts 0001 and Gianluca Bontempi and Pierre Geurts and Nick Harley and Bertrand Lebichot and Tom Lenaerts and Gilles Louppe and Paul Van Eecke},
  volume = {2491},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}