S. Shankar Sastry

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 91

Top Venues

CoRR

CDC

IROS

IEEE Trans. Autom. Control.

Publications

Marsalis T. Gibson, David Babazadeh, Claire J. Tomlin, S. Shankar Sastry
Hacking predictors means hacking cars: Using sensitivity analysis to identify trajectory prediction vulnerabilities for autonomous driving security. L4DC (2024)
Victoria Marie Tuck, Pei-Wei Chen, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, S. Shankar Sastry, Sanjit A. Seshia
SMT-Based Dynamic Multi-Robot Task Allocation. NFM (2024)
Victoria Marie Tuck, Pei-Wei Chen, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, S. Shankar Sastry, Sanjit A. Seshia
SMT-Based Dynamic Multi-Robot Task Allocation. CoRR (2024)
Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry
Adaptive Incentive Design with Learning Agents. CoRR (2024)
Sukanya Kudva, Kshitij Kulkarni, Chinmay Maheshwari, Anil Aswani, S. Shankar Sastry
Understanding the Impact of Coalitions between EV Charging Stations. CoRR (2024)
Chinmay Maheshwari, S. Shankar Sastry, Lillian J. Ratliff, Eric Mazumdar
Convergent First-Order Methods for Bi-level Optimization and Stackelberg Games. CoRR (2023)
Nima Rahmanian, Michael Gupta, Renzo Soatto, Srisai Nachuri, Michael Psenka, Yi Ma, S. Shankar Sastry
Role of Uncertainty in Anticipatory Trajectory Prediction for a Ping-Pong Playing Robot. CoRR (2023)
Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, S. Shankar Sastry
Arc-based Traffic Assignment: Equilibrium Characterization and Learning. CoRR (2023)
Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry
Dynamic Tolling for Inducing Socially Optimal Traffic Loads. ACC (2022)
Chih-Yuan Chiu, Kshitij Kulkarni, S. Shankar Sastry
Towards Dynamic Causal Discovery with Rare Events: A Nonparametric Conditional Independence Test. CoRR (2022)
Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry
Inducing Social Optimality in Games via Adaptive Incentive Design. CDC (2022)
Sanjit A. Seshia, Dorsa Sadigh, S. Shankar Sastry
Toward verified artificial intelligence. Commun. ACM 65 (7) (2022)
Tyler Westenbroek, Anand Siththaranjan, Mohsin Sarwari, Claire J. Tomlin, S. Shankar Sastry
On the Computational Consequences of Cost Function Design in Nonlinear Optimal Control. CDC (2022)
Victoria Tuck, Yash Vardhan Pant, Sanjit A. Seshia, S. Shankar Sastry
DEC-LOS-RRT: Decentralized Path Planning for Multi-robot Systems with Line-of-sight Constrained Communication. CoRR (2022)
Tyler Westenbroek, Xiaobin Xiong, S. Shankar Sastry, Aaron D. Ames
Smooth Approximations for Hybrid Optimal Control Problems with Application to Robotic Walking. ADHS (2021)
David Livingston McPherson, Kaylene C. Stocking, S. Shankar Sastry
Maximum Likelihood Constraint Inference from Stochastic Demonstrations. CCTA (2021)
Tyler Westenbroek, Max Simchowitz, Michael I. Jordan, S. Shankar Sastry
On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective. CoRR (2021)
David Livingston McPherson, Kaylene C. Stocking, S. Shankar Sastry
Maximum Likelihood Constraint Inference from Stochastic Demonstrations. CoRR (2021)
Tijana Zrnic, Eric Mazumdar, S. Shankar Sastry, Michael I. Jordan
Who Leads and Who Follows in Strategic Classification? CoRR (2021)
Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, S. Shankar Sastry, Lillian J. Ratliff
Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization. CoRR (2021)
David Livingston McPherson, S. Shankar Sastry
An Efficient Understandability Objective for Dynamic Optimal Control. IROS (2021)
Tyler Westenbroek, Max Simchowitz, Michael I. Jordan, S. Shankar Sastry
On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective. CDC (2021)
Tijana Zrnic, Eric Mazumdar, S. Shankar Sastry, Michael I. Jordan
Who Leads and Who Follows in Strategic Classification? NeurIPS (2021)
Victoria Tuck, Yash Vardhan Pant, Sanjit A. Seshia, S. Shankar Sastry
DEC-LOS-RRT: Decentralized Path Planning for Multi-robot Systems with Line-of-sight Constrained Communication. CCTA (2021)
Tyler Westenbroek, Ayush Agrawal, Fernando Castañeda, S. Shankar Sastry, Koushil Sreenath
Combining Model-Based Design and Model-Free Policy Optimization to Learn Safe, Stabilizing Controllers. ADHS (2021)
Valmik Prabhu, Amay Saxena, S. Shankar Sastry
Exponentially Stable First Order Control on Matrix Lie Groups. CoRR (2020)
Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan
LESS is More: Rethinking Probabilistic Models of Human Behavior. CoRR (2020)
Vicenç Rúbies Royo, Eric Mazumdar, Roy Dong, Claire J. Tomlin, S. Shankar Sastry
Expert Selection in High-Dimensional Markov Decision Processes. CoRR (2020)
Eric Mazumdar, Lillian J. Ratliff, S. Shankar Sastry
On Gradient-Based Learning in Continuous Games. SIAM J. Math. Data Sci. 2 (1) (2020)
Eric Mazumdar, Tyler Westenbroek, Michael I. Jordan, S. Shankar Sastry
High Confidence Sets for Trajectories of Stochastic Time-Varying Nonlinear Systems. CDC (2020)
Vicenç Rúbies Royo, Eric Mazumdar, Roy Dong, Claire J. Tomlin, S. Shankar Sastry
Expert Selection in High-Dimensional Markov Decision Processes. CDC (2020)
Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, S. Shankar Sastry, Claire J. Tomlin, Koushil Sreenath
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning. CoRR (2020)
Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil, Valmik Prabhu, Claire J. Tomlin, S. Shankar Sastry
Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning. CDC (2020)
Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar, Shreyas Arora, Valmik Prabhu, S. Shankar Sastry, Claire J. Tomlin
Feedback Linearization for Uncertain Systems via Reinforcement Learning. ICRA (2020)
Dexter R. R. Scobee, S. Shankar Sastry
Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning. ICLR (2020)
Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil, Valmik Prabhu, Claire J. Tomlin, S. Shankar Sastry
Technical Report: Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning. CoRR (2020)
Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, S. Shankar Sastry, Koushil Sreenath
Learning Min-norm Stabilizing Control Laws for Systems with Unknown Dynamics. CDC (2020)
Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry
Competitive Statistical Estimation With Strategic Data Sources. IEEE Trans. Autom. Control. 65 (4) (2020)
Eric Mazumdar, Lillian J. Ratliff, Michael I. Jordan, S. Shankar Sastry
Policy-Gradient Algorithms Have No Guarantees of Convergence in Linear Quadratic Games. AAMAS (2020)
Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, S. Shankar Sastry, Koushil Sreenath
Learning Min-norm Stabilizing Control Laws for Systems with Unknown Dynamics. CoRR (2020)
Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan
LESS is More: Rethinking Probabilistic Models of Human Behavior. HRI (2020)
Kamil Nar, S. Shankar Sastry
Persistency of Excitation for Robustness of Neural Networks. CoRR (2019)
Elis Stefansson, Jaime F. Fisac, Dorsa Sadigh, S. Shankar Sastry, Karl Henrik Johansson
Human-robot interaction for truck platooning using hierarchical dynamic games. ECC (2019)
Jaime F. Fisac, Eli Bronstein, Elis Stefansson, Dorsa Sadigh, S. Shankar Sastry, Anca D. Dragan
Hierarchical Game-Theoretic Planning for Autonomous Vehicles. ICRA (2019)
Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar, Shreyas Arora, Valmik Prabhu, S. Shankar Sastry, Claire J. Tomlin
Feedback Linearization for Unknown Systems via Reinforcement Learning. CoRR (2019)
Kamil Nar, Orhan Ocal, S. Shankar Sastry, Kannan Ramchandran
Cross-Entropy Loss and Low-Rank Features Have Responsibility for Adversarial Examples. CoRR (2019)
Tyler Westenbroek, Xiaobin Xiong, Aaron D. Ames, S. Shankar Sastry
Optimal Control of Piecewise-Smooth Control Systems via Singular Perturbations. CDC (2019)
Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry
Competitive Statistical Estimation with Strategic Data Sources. CoRR (2019)
Eric V. Mazumdar, Michael I. Jordan, S. Shankar Sastry
On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games. CoRR (2019)
Eric Mazumdar, Lillian J. Ratliff, Michael I. Jordan, S. Shankar Sastry
Policy-Gradient Algorithms Have No Guarantees of Convergence in Continuous Action and State Multi-Agent Settings. CoRR (2019)
Dexter R. R. Scobee, S. Shankar Sastry
Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning. CoRR (2019)
David Livingston McPherson, Dexter R. R. Scobee, Joseph Menke, Allen Y. Yang, S. Shankar Sastry
Modeling Supervisor Safe Sets for Improving Collaboration in Human-Robot Teams. IROS (2018)
Tyler Westenbroek, Humberto González, S. Shankar Sastry
A New Solution Concept and Family of Relaxations for Hybrid Dynamical Systems. CDC (2018)
Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, S. Shankar Sastry, Costas J. Spanos
A Robust Utility Learning Framework via Inverse Optimization. IEEE Trans. Control. Syst. Technol. 26 (3) (2018)
Jaime F. Fisac, Eli Bronstein, Elis Stefansson, Dorsa Sadigh, S. Shankar Sastry, Anca D. Dragan
Hierarchical Game-Theoretic Planning for Autonomous Vehicles. CoRR (2018)
Kamil Nar, S. Shankar Sastry
An Analytical Framework to Address the Data Exfiltration of Advanced Persistent Threats. CDC (2018)
Kamil Nar, S. Shankar Sastry
Step Size Matters in Deep Learning. CoRR (2018)
Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. CoRR (2018)
Oladapo Afolabi, Katherine Rose Driggs-Campbell, Roy Dong, Mykel J. Kochenderfer, S. Shankar Sastry
People as Sensors: Imputing Maps from Human Actions. IROS (2018)
Roy Dong, Lillian J. Ratliff, Alvaro A. Cárdenas, Henrik Ohlsson, S. Shankar Sastry
Quantifying the Utility-Privacy Tradeoff in the Internet of Things. ACM Trans. Cyber Phys. Syst. 2 (2) (2018)
Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, S. Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan
Generating Plans that Predict Themselves. CoRR (2018)
David Livingston McPherson, Dexter R. R. Scobee, Joseph Menke, Allen Y. Yang, S. Shankar Sastry
Modeling Supervisor Safe Sets for Improving Collaboration in Human-Robot Teams. CoRR (2018)
Dexter R. R. Scobee, Vicenç Rúbies Royo, Claire J. Tomlin, S. Shankar Sastry
Haptic Assistance via Inverse Reinforcement Learning. SMC (2018)
Eric Mazumdar, Lillian J. Ratliff, Tanner Fiez, S. Shankar Sastry
Gradient-based inverse risk-sensitive reinforcement learning. CDC (2017)
Eric Mazumdar, Roy Dong, Vicenç Rúbies Royo, Claire J. Tomlin, S. Shankar Sastry
A Multi-Armed Bandit Approach for Online Expert Selection in Markov Decision Processes. CoRR (2017)
Negar Mehr, Dorsa Sadigh, Roberto Horowitz, S. Shankar Sastry, Sanjit A. Seshia
Stochastic predictive freeway ramp metering from Signal Temporal Logic specifications. ACC (2017)
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
Pragmatic-Pedagogic Value Alignment. ISRR (2017)
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
Pragmatic-Pedagogic Value Alignment. CoRR (2017)
Daniel J. Calderone, S. Shankar Sastry
Markov decision process routing games. ICCPS (2017)
Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry
Statistical Estimation with Strategic Data Sources in Competitive Settings. CoRR (2017)
Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, S. Shankar Sastry, Costas J. Spanos
A Robust Utility Learning Framework via Inverse Optimization. CoRR (2017)
Ruoxi Jia, Roy Dong, S. Shankar Sastry, Costas J. Spanos
Privacy-enhanced architecture for occupancy-based HVAC Control. ICCPS (2017)
Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry
Statistical estimation with strategic data sources in competitive settings. CDC (2017)
Oladapo Afolabi, Katherine Rose Driggs-Campbell, Roy Dong, Mykel J. Kochenderfer, S. Shankar Sastry
People as Sensors: Imputing Maps from Human Actions. CoRR (2017)
Daniel J. Calderone, Roy Dong, S. Shankar Sastry
External-cost continuous-type wardrop equilibria in routing games. ITSC (2017)
Roy Dong, Eric Mazumdar, S. Shankar Sastry
Optimal Causal Imputation for Control. CoRR (2017)
Katherine Rose Driggs-Campbell, Roy Dong, S. Shankar Sastry, Ruzena Bajcsy
Robust, Informative Human-in-the-Loop Predictions via Empirical Reachable Sets. CoRR (2017)
Insoon Yang, Samuel A. Burden, Ram Rajagopal, S. Shankar Sastry, Claire J. Tomlin
Approximation Algorithms for Optimization of Combinatorial Dynamical Systems. IEEE Trans. Autom. Control. 61 (9) (2016)
Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. AAMAS (2016)
Aron Laszka, Waseem Abbas, S. Shankar Sastry, Yevgeniy Vorobeychik, Xenofon D. Koutsoukos
Optimal thresholds for intrusion detection systems. HotSoS (2016)
Ehsan Elhamifar, Guillermo Sapiro, S. Shankar Sastry
Dissimilarity-Based Sparse Subset Selection. IEEE Trans. Pattern Anal. Mach. Intell. 38 (11) (2016)
Roy Dong, Walid Krichene, Alexandre M. Bayen, S. Shankar Sastry
Differential Privacy of Populations in Routing Games. CoRR (2016)
Lillian J. Ratliff, Samuel A. Burden, S. Shankar Sastry
On the Characterization of Local Nash Equilibria in Continuous Games. IEEE Trans. Autom. Control. 61 (8) (2016)
Dorsa Sadigh, S. Shankar Sastry, Sanjit A. Seshia, Anca D. Dragan
Information gathering actions over human internal state. IROS (2016)
Daniel J. Calderone, Eric Mazumdar, Lillian J. Ratliff, S. Shankar Sastry
Understanding the impact of parking on urban mobility via routing games on queue-flow networks. CDC (2016)
Shromona Ghosh, Dorsa Sadigh, Pierluigi Nuzzo, Vasumathi Raman, Alexandre Donzé, Alberto L. Sangiovanni-Vincentelli, S. Shankar Sastry, Sanjit A. Seshia
Diagnosis and Repair for Synthesis from Signal Temporal Logic Specifications. HSCC (2016)
Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, Costas J. Spanos, S. Shankar Sastry
Inverse modeling of non-cooperative agents via mixture of utilities. CDC (2016)
Shromona Ghosh, Dorsa Sadigh, Pierluigi Nuzzo, Vasumathi Raman, Alexandre Donzé, Alberto L. Sangiovanni-Vincentelli, S. Shankar Sastry, Sanjit A. Seshia
Diagnosis and Repair for Synthesis from Signal Temporal Logic Specifications. CoRR (2016)
Ruoxi Jia, Roy Dong, S. Shankar Sastry, Costas J. Spanos
Privacy-Enhanced Architecture for Occupancy-based HVAC Control. CoRR (2016)
Tara Rezvani, Katherine Rose Driggs-Campbell, Dorsa Sadigh, S. Shankar Sastry, Sanjit A. Seshia, Ruzena Bajcsy
Towards trustworthy automation: User interfaces that convey internal and external awareness. ITSC (2016)
Samuel A. Burden, S. Shankar Sastry, Daniel E. Koditschek, Shai Revzen
Event-Selected Vector Field Discontinuities Yield Piecewise-Differentiable Flows. SIAM J. Appl. Dyn. Syst. 15 (2) (2016)
Sanjit A. Seshia, Dorsa Sadigh, S. Shankar Sastry
Formal methods for semi-autonomous driving. DAC (2015)
Ming Jin, Lillian J. Ratliff, Ioannis C. Konstantakopoulos, Costas J. Spanos, S. Shankar Sastry
REST: a reliable estimation of stopping time algorithm for social game experiments. ICCPS (2015)
Chi-Pang Lam, Allen Y. Yang, S. Shankar Sastry
An efficient algorithm for discrete-time hidden mode stochastic hybrid systems. ECC (2015)
Chi-Pang Lam, Allen Y. Yang, Katherine Rose Driggs-Campbell, Ruzena Bajcsy, S. Shankar Sastry
Improving human-in-the-loop decision making in multi-mode driver assistance systems using hidden mode stochastic hybrid systems. IROS (2015)
Jaime F. Fisac, Mo Chen, Claire J. Tomlin, S. Shankar Sastry
Reach-avoid problems with time-varying dynamics, targets and constraints. HSCC (2015)
Dexter Scobee, Lillian J. Ratliff, Roy Dong, Henrik Ohlsson, Michel Verhaegen, S. Shankar Sastry
Nuclear norm minimization for blind subspace identification (N2BSID). CDC (2015)
Jaime F. Fisac, S. Shankar Sastry
The pursuit-evasion-defense differential game in dynamic constrained environments. CDC (2015)
Samuel A. Burden, Shai Revzen, S. Shankar Sastry
Model Reduction Near Periodic Orbits of Hybrid Dynamical Systems. IEEE Trans. Autom. Control. 60 (10) (2015)
Daniel J. Calderone, Lillian J. Ratliff, S. Shankar Sastry
Lane pricing via decision-theoretic lane changing model of driver behavior. CDC (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

S. Shankar Sastry