QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking

Yanran Wang, James O'Keeffe, Qiuchen Qian, David E. Boyle. QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking. In Karen Liu, Dana Kulic, Jeffrey Ichnowski, editors, Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand. Volume 205 of Proceedings of Machine Learning Research, pages 2306-2316, PMLR, 2022. [doi]

@inproceedings{WangOQB22-1,
  title = {QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking},
  author = {Yanran Wang and James O'Keeffe and Qiuchen Qian and David E. Boyle},
  year = {2022},
  url = {https://proceedings.mlr.press/v205/wang23d.html},
  researchr = {https://researchr.org/publication/WangOQB22-1},
  cites = {0},
  citedby = {0},
  pages = {2306-2316},
  booktitle = {Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand},
  editor = {Karen Liu and Dana Kulic and Jeffrey Ichnowski},
  volume = {205},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}