A Divergence Minimization Perspective on Imitation Learning Methods

Seyed Kamyar Seyed Ghasemipour, Richard S. Zemel, Shixiang Gu. A Divergence Minimization Perspective on Imitation Learning Methods. In Leslie Pack Kaelbling, Danica Kragic, Komei Sugiura, editors, 3rd Annual Conference on Robot Learning, CoRL 2019, Osaka, Japan, October 30 - November 1, 2019, Proceedings. Volume 100 of Proceedings of Machine Learning Research, pages 1259-1277, PMLR, 2019. [doi]

@inproceedings{GhasemipourZG19,
  title = {A Divergence Minimization Perspective on Imitation Learning Methods},
  author = {Seyed Kamyar Seyed Ghasemipour and Richard S. Zemel and Shixiang Gu},
  year = {2019},
  url = {http://proceedings.mlr.press/v100/ghasemipour20a.html},
  researchr = {https://researchr.org/publication/GhasemipourZG19},
  cites = {0},
  citedby = {0},
  pages = {1259-1277},
  booktitle = {3rd Annual Conference on Robot Learning, CoRL 2019, Osaka, Japan, October 30 - November 1, 2019, Proceedings},
  editor = {Leslie Pack Kaelbling and Danica Kragic and Komei Sugiura},
  volume = {100},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}