A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning

Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak. A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning. In Sinno Jialin Pan, Masashi Sugiyama, editors, Proceedings of The 12th Asian Conference on Machine Learning, ACML 2012, 18-20 November 2020, Bangkok, Thailand. Volume 129 of Proceedings of Machine Learning Research, pages 81-96, PMLR, 2020. [doi]

@inproceedings{AfsharZFK20,
  title = {A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning},
  author = {Reza Refaei Afshar and Yingqian Zhang and Murat Firat and Uzay Kaymak},
  year = {2020},
  url = {http://proceedings.mlr.press/v129/refaei-afshar20a.html},
  researchr = {https://researchr.org/publication/AfsharZFK20},
  cites = {0},
  citedby = {0},
  pages = {81-96},
  booktitle = {Proceedings of The 12th Asian Conference on Machine Learning, ACML 2012, 18-20 November 2020, Bangkok, Thailand},
  editor = {Sinno Jialin Pan and Masashi Sugiyama},
  volume = {129},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}