Offline stochastic shortest path: Learning, evaluation and towards optimality

Ming Yin, Wenjing Chen, Mengdi Wang, Yu-Xiang Wang 0003. Offline stochastic shortest path: Learning, evaluation and towards optimality. In James Cussens, Kun Zhang 0001, editors, Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands. Volume 180 of Proceedings of Machine Learning Research, pages 2278-2288, PMLR, 2022. [doi]

@inproceedings{YinCW022,
  title = {Offline stochastic shortest path: Learning, evaluation and towards optimality},
  author = {Ming Yin and Wenjing Chen and Mengdi Wang and Yu-Xiang Wang 0003},
  year = {2022},
  url = {https://proceedings.mlr.press/v180/yin22b.html},
  researchr = {https://researchr.org/publication/YinCW022},
  cites = {0},
  citedby = {0},
  pages = {2278-2288},
  booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands},
  editor = {James Cussens and Kun Zhang 0001},
  volume = {180},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}