2020
Publications
1. Afolabi, Oladapo and Yang, Allen and Sastry, Shankar S, DeepSDF x Sim
(3): Extending DeepSDF for automatic 3D shape
retrieval and similarity transform estimation, arXiv
preprint arXiv:2004.09048, 2020. [PDF]
2. Dexter R.R. Scobee and S. Shankar Sastry, Maximum Likelihood Constraint Inference for Inverse
Reinforcement Learning, International Conference on Learning Representations
(ICLR), 2020. [PDF]
3. Andreea Bobu, Dexter R.R. Scobee, Jaime F. Fisac, S.
Shankar Sastry, and Anca D.
Dragan, LESS is More: Rethinking Probabilistic Models of Human Behavior,
ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2020. [PDF]
4. Eric Mazumdar, Lillian J.
Ratliff, Micheal I. Jordan, S. Shankar Sastry. Policy-Gradient Algorithms Have No Guarantees
of Convergence in Linear Quadratic Games. AAMAS, 2020. [PDF]
5. Valmik Prabhu, Amay
Saxena, and S. Shankar Sastry.
Exponentially Stable First Order Control
on Matrix Lie Groups. arXiv preprint
arXiv:2004.00239, 2020. [PDF]
6. Tyler Westenbroek, Fernando Castaņeda, Ayush Agrawal, S.
Shankar Sastry, Koushil Sreenath. Learning Min-norm Stabilizing Control Laws forSystems with Unknown Dynamics. Arxiv
2004.10331(2020). [PDF]
7. Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil, Valmik Prabhu, Claire J. Tomlin
and S. Shankar Sastry. Technichal Report: Adaptive Control for Linearizable
Systems using On-Policy Reinforcement Learning. arxiv2004.02766, 2020. [PDF]
8. K. Nar and S. S. Sastry. Richness of training data does not
suffice: Robustness of neural networks requires richness of hidden-layer
activations. Workshop on Uncertainty and Robustness in Deep Learning,
International Conference on Machine Learning, 2020. [PDF]