Being more Effective and Interpretable: Bridging the Gap Between Heuristics and AI for ABR Algorithms

Tianchi Huang, Rui-Xiao Zhang, Xin Yao 0003, Chenglei Wu, Lifeng Sun. Being more Effective and Interpretable: Bridging the Gap Between Heuristics and AI for ABR Algorithms. In Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, SIGCOMM 2019, Beijing, China, August 19-23, 2019. pages 12-14, ACM, 2019. [doi]

@inproceedings{HuangZ0WS19,
  title = {Being more Effective and Interpretable: Bridging the Gap Between Heuristics and AI for ABR Algorithms},
  author = {Tianchi Huang and Rui-Xiao Zhang and Xin Yao 0003 and Chenglei Wu and Lifeng Sun},
  year = {2019},
  doi = {10.1145/3342280.3342291},
  url = {https://doi.org/10.1145/3342280.3342291},
  researchr = {https://researchr.org/publication/HuangZ0WS19},
  cites = {0},
  citedby = {0},
  pages = {12-14},
  booktitle = {Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, SIGCOMM 2019, Beijing, China, August 19-23, 2019},
  publisher = {ACM},
  isbn = {978-1-4503-6886-5},
}