Evaluating reinforcement learning state representations for adaptive traffic signal control

Wade Genders, Saiedeh Razavi. Evaluating reinforcement learning state representations for adaptive traffic signal control. In Elhadi M. Shakshuki, Ansar-Ul-Haque Yasar, editors, The 9th International Conference on Ambient Systems, Networks and Technologies (ANT 2018) / The 8th International Conference on Sustainable Energy Information Technology (SEIT 2018) / Affiliated Workshops, May 8-11, 2018, Porto, Portugal. Volume 130 of Procedia Computer Science, pages 26-33, Elsevier, 2018. [doi]

@inproceedings{GendersR18,
  title = {Evaluating reinforcement learning state representations for adaptive traffic signal control},
  author = {Wade Genders and Saiedeh Razavi},
  year = {2018},
  doi = {10.1016/j.procs.2018.04.008},
  url = {https://doi.org/10.1016/j.procs.2018.04.008},
  researchr = {https://researchr.org/publication/GendersR18},
  cites = {0},
  citedby = {0},
  pages = {26-33},
  booktitle = {The 9th International Conference on Ambient Systems, Networks and Technologies (ANT 2018) / The 8th International Conference on Sustainable Energy Information Technology (SEIT 2018) / Affiliated Workshops, May 8-11, 2018, Porto, Portugal},
  editor = {Elhadi M. Shakshuki and Ansar-Ul-Haque Yasar},
  volume = {130},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}