A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning

Alix Lheritier, Nicolas Bondoux. A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning. In Gustau Camps-Valls, Francisco J. R. Ruiz, Isabel Valera, editors, International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event. Volume 151 of Proceedings of Machine Learning Research, pages 5774-5789, PMLR, 2022. [doi]

@inproceedings{LheritierB22,
  title = {A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning},
  author = {Alix Lheritier and Nicolas Bondoux},
  year = {2022},
  url = {https://proceedings.mlr.press/v151/lheritier22a.html},
  researchr = {https://researchr.org/publication/LheritierB22},
  cites = {0},
  citedby = {0},
  pages = {5774-5789},
  booktitle = {International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event},
  editor = {Gustau Camps-Valls and Francisco J. R. Ruiz and Isabel Valera},
  volume = {151},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}