Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling

Yao Liu 0009, Pierre-Luc Bacon, Emma Brunskill. Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event. Volume 119 of Proceedings of Machine Learning Research, pages 6184-6193, PMLR, 2020. [doi]

@inproceedings{0009BB20,
  title = {Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling},
  author = {Yao Liu 0009 and Pierre-Luc Bacon and Emma Brunskill},
  year = {2020},
  url = {http://proceedings.mlr.press/v119/liu20a.html},
  researchr = {https://researchr.org/publication/0009BB20},
  cites = {0},
  citedby = {0},
  pages = {6184-6193},
  booktitle = {Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event},
  volume = {119},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}