Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations

Ajay Mandlekar, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese. Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, BC, Canada, September 24-28, 2017. pages 3932-3939, IEEE, 2017. [doi]

@inproceedings{MandlekarZGFS17,
  title = {Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations},
  author = {Ajay Mandlekar and Yuke Zhu and Animesh Garg and Li Fei-Fei and Silvio Savarese},
  year = {2017},
  doi = {10.1109/IROS.2017.8206245},
  url = {https://doi.org/10.1109/IROS.2017.8206245},
  researchr = {https://researchr.org/publication/MandlekarZGFS17},
  cites = {0},
  citedby = {0},
  pages = {3932-3939},
  booktitle = {2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, Vancouver, BC, Canada, September 24-28, 2017},
  publisher = {IEEE},
  isbn = {978-1-5386-2682-5},
}