Online State Exploration: Competitive Worst Case and Learning-Augmented Algorithms

Im et al. "Online State Exploration: Competitive Worst Case and Learning-Augmented Algorithms." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023. doi:10.1007/978-3-031-43421-1_20

[Im et al. "Online State Exploration: Competitive Worst Case and Learning-Augmented Algorithms." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023.](https://mlanthology.org/ecmlpkdd/2023/im2023ecmlpkdd-online/) doi:10.1007/978-3-031-43421-1_20

@inproceedings{im2023ecmlpkdd-online,
  title     = {{Online State Exploration: Competitive Worst Case and Learning-Augmented Algorithms}},
  author    = {Im, Sungjin and Moseley, Benjamin and Xu, Chenyang and Zhang, Ruilong},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2023},
  pages     = {333-348},
  doi       = {10.1007/978-3-031-43421-1_20},
  url       = {https://mlanthology.org/ecmlpkdd/2023/im2023ecmlpkdd-online/}
}