L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning

Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu. L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. In Gianluca Demartini, Guido Zuccon, J. Shane Culpepper, Zi Huang, Hanghang Tong, editors, CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. pages 1284-1293, ACM, 2021. [doi]

@inproceedings{MillsHSRKLLJN21,
  title = {L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning},
  author = {Keith G. Mills and Fred X. Han and Mohammad Salameh and Seyed Saeed Changiz Rezaei and Linglong Kong and Wei Lu and Shuo Lian and Shangling Jui and Di Niu},
  year = {2021},
  doi = {10.1145/3459637.3482360},
  url = {https://doi.org/10.1145/3459637.3482360},
  researchr = {https://researchr.org/publication/MillsHSRKLLJN21},
  cites = {0},
  citedby = {0},
  pages = {1284-1293},
  booktitle = {CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021},
  editor = {Gianluca Demartini and Guido Zuccon and J. Shane Culpepper and Zi Huang and Hanghang Tong},
  publisher = {ACM},
  isbn = {978-1-4503-8446-9},
}