BibTeX record conf/hicss/NahhasKT22

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@inproceedings{DBLP:conf/hicss/NahhasKT22,
  author       = {Abdulrahman Nahhas and
                  Andrey Kharitonov and
                  Klaus Turowski},
  title        = {Deep Reinforcement Learning Techniques For Solving Hybrid Flow Shop
                  Scheduling Problems: Proximal Policy Optimization {(PPO)} and Asynchronous
                  Advantage Actor-Critic {(A3C)}},
  booktitle    = {55th Hawaii International Conference on System Sciences, {HICSS} 2022,
                  Virtual Event / Maui, Hawaii, USA, January 4-7, 2022},
  pages        = {1--10},
  publisher    = {ScholarSpace},
  year         = {2022},
  url          = {http://hdl.handle.net/10125/79538},
  timestamp    = {Wed, 11 May 2022 16:32:45 +0200},
  biburl       = {https://dblp.org/rec/conf/hicss/NahhasKT22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
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