Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Extending DeepSDF for automatic 3D shape retrieval and similarity transform estimation

May 05, 2020
Oladapo Afolabi, Allen Y. Yang, S. Shankar Sastry

* 10 pages 

  Access Paper or Ask Questions

Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning

May 02, 2020
Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, Claire J. Tomlin, S. Shankar Sastry, Koushil Sreenath

* Final version appearing in Learning for Dynamics and Control (L4DC) 2020 Conference 

  Access Paper or Ask Questions

Technical Report: Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning

Apr 06, 2020
Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil, Valmik Prabhu, Claire J. Tomlin, S. Shankar Sastry


  Access Paper or Ask Questions

Exponentially Stable First Order Control on Matrix Lie Groups

Apr 01, 2020
Valmik Prabhu, Amay Saxena, S. Shankar Sastry

* 8 pages, four figures, submitted to CDC 2020 

  Access Paper or Ask Questions

LESS is More: Rethinking Probabilistic Models of Human Behavior

Jan 13, 2020
Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan

* 9 pages, 7 figures 

  Access Paper or Ask Questions

Persistency of Excitation for Robustness of Neural Networks

Nov 04, 2019
Kamil Nar, S. Shankar Sastry


  Access Paper or Ask Questions

Feedback Linearization for Unknown Systems via Reinforcement Learning

Oct 29, 2019
Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar, Shreyas Arora, Valmik Prabhu, S. Shankar Sastry, Claire J. Tomlin


  Access Paper or Ask Questions

Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning

Sep 12, 2019
Dexter R. R. Scobee, S. Shankar Sastry


  Access Paper or Ask Questions

Policy-Gradient Algorithms Have No Guarantees of Convergence in Continuous Action and State Multi-Agent Settings

Jul 08, 2019
Eric Mazumdar, Lillian J. Ratliff, Michael I. Jordan, S. Shankar Sastry


  Access Paper or Ask Questions

Competitive Statistical Estimation with Strategic Data Sources

Apr 29, 2019
Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry

* accepted in the IEEE Transactions on Automatic Control 

  Access Paper or Ask Questions

Cross-Entropy Loss and Low-Rank Features Have Responsibility for Adversarial Examples

Jan 24, 2019
Kamil Nar, Orhan Ocal, S. Shankar Sastry, Kannan Ramchandran


  Access Paper or Ask Questions

People as Sensors: Imputing Maps from Human Actions

Jan 08, 2019
Oladapo Afolabi, Katherine Driggs-Campbell, Roy Dong, Mykel J. Kochenderfer, S. Shankar Sastry

* 7 pages, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 

  Access Paper or Ask Questions

On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games

Jan 03, 2019
Eric V. Mazumdar, Michael I. Jordan, S. Shankar Sastry


  Access Paper or Ask Questions

Hierarchical Game-Theoretic Planning for Autonomous Vehicles

Oct 13, 2018
Jaime F. Fisac, Eli Bronstein, Elis Stefansson, Dorsa Sadigh, S. Shankar Sastry, Anca D. Dragan

* Submitted to ICRA 2019 

  Access Paper or Ask Questions

Step Size Matters in Deep Learning

Oct 09, 2018
Kamil Nar, S. Shankar Sastry

* Advances in Neural Information Processing Systems (NIPS) 2018 

  Access Paper or Ask Questions

Modeling Supervisor Safe Sets for Improving Collaboration in Human-Robot Teams

May 09, 2018
David L. McPherson, Dexter R. R. Scobee, Joseph Menke, Allen Y. Yang, S. Shankar Sastry


  Access Paper or Ask Questions

Generating Plans that Predict Themselves

Feb 14, 2018
Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, S. Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan

* Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, S. Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, and Anca D. Dragan. "Generating Plans that Predict Themselves". Workshop on Algorithmic Foundations of Robotics (WAFR), 2016 
* Published at the Workshop on Algorithmic Foundations of Robotics (WAFR 2016) 

  Access Paper or Ask Questions

Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration

Feb 06, 2018
Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths

* C. Liu, J. Hamrick, J. Fisac, A. Dragan, J. K. Hedrick, S. Sastry, T. Griffiths. "Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration". Autonomous Agents and Multiagent Systems (AAMAS), 2016 
* Published at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016) 

  Access Paper or Ask Questions

Pragmatic-Pedagogic Value Alignment

Feb 05, 2018
Jaime F. Fisac, Monica A. Gates, Jessica B. Hamrick, Chang Liu, Dylan Hadfield-Menell, Malayandi Palaniappan, Dhruv Malik, S. Shankar Sastry, Thomas L. Griffiths, Anca D. Dragan

* International Symposium on Robotics Research, 2017 
* Published at the International Symposium on Robotics Research (ISRR 2017) 

  Access Paper or Ask Questions

Towards Verified Artificial Intelligence

Oct 21, 2017
Sanjit A. Seshia, Dorsa Sadigh, S. Shankar Sastry


  Access Paper or Ask Questions

Dissimilarity-based Sparse Subset Selection

Apr 09, 2016
Ehsan Elhamifar, Guillermo Sapiro, S. Shankar Sastry


  Access Paper or Ask Questions

Rapid Integration and Calibration of New Sensors Using the Berkeley Aachen Robotics Toolkit (BART)

Sep 08, 2014
Jan O. Biermeyer, Todd R. Templeton, Christian Berger, Humberto Gonzalez, Nikhil Naikal, Bernhard Rumpe, S. Shankar Sastry

* 17 pages, 5 figures. Proceedings des 11. Braunschweiger Symposiums "Automatisierungssysteme, Assistenzsysteme und eingebettete Systeme f\"ur Transportmittel", ITS Niedersachsen, Braunschweig, 2010 

  Access Paper or Ask Questions

Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment

Feb 08, 2014
Liansheng Zhuang, Tsung-Han Chan, Allen Y. Yang, S. Shankar Sastry, Yi Ma


  Access Paper or Ask Questions

Robust Subspace System Identification via Weighted Nuclear Norm Optimization

Dec 07, 2013
Dorsa Sadigh, Henrik Ohlsson, S. Shankar Sastry, Sanjit A. Seshia

* Submitted to the IFAC World Congress 2014 

  Access Paper or Ask Questions

Scalable Anomaly Detection in Large Homogenous Populations

Sep 20, 2013
Henrik Ohlsson, Tianshi Chen, Sina Khoshfetrat Pakazad, Lennart Ljung, S. Shankar Sastry


  Access Paper or Ask Questions

Compressive Shift Retrieval

Aug 03, 2013
Henrik Ohlsson, Yonina C. Eldar, Allen Y. Yang, S. Shankar Sastry

* Submitted to IEEE Transactions on Signal Processing. Accepted to the 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013 

  Access Paper or Ask Questions

Quadratic Basis Pursuit

Feb 09, 2013
Henrik Ohlsson, Allen Y. Yang, Roy Dong, Michel Verhaegen, S. Shankar Sastry


  Access Paper or Ask Questions

Fast L1-Minimization Algorithms For Robust Face Recognition

Aug 26, 2012
Allen Y. Yang, Zihan Zhou, Arvind Ganesh, S. Shankar Sastry, Yi Ma


  Access Paper or Ask Questions

Provably Safe and Robust Learning-Based Model Predictive Control

Aug 04, 2012
Anil Aswani, Humberto Gonzalez, S. Shankar Sastry, Claire Tomlin


  Access Paper or Ask Questions