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]