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

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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]

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