Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning

Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto. Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021. pages 7851-7857, IEEE, 2021. [doi]

@inproceedings{IlboudoKS21,
  title = {Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning},
  author = {Wendyam Eric Lionel Ilboudo and Taisuke Kobayashi and Kenji Sugimoto},
  year = {2021},
  doi = {10.1109/IROS51168.2021.9636413},
  url = {https://doi.org/10.1109/IROS51168.2021.9636413},
  researchr = {https://researchr.org/publication/IlboudoKS21},
  cites = {0},
  citedby = {0},
  pages = {7851-7857},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-1714-3},
}