Adam J. Thorpe

David Fridovich-Keil

CoRR, 2024

Zero-Shot Transfer of Neural ODEs.

[BibT_eX]

[DOI]

Tyler Ingebrand

Ufuk Topcu

CoRR, 2024

Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process.

[BibT_eX]

[DOI]

Kevin S. Miller

Ufuk Topcu

CoRR, 2024

Using Reward Shaping to Train Cognitive-Based Control Policies for Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2024

Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2024

2023

GPSINDy: Data-Driven Discovery of Equations of Motion.

[BibT_eX]

[DOI]

CoRR, 2023

Refining Human-Centered Autonomy Using Side Information.

[BibT_eX]

[DOI]

CoRR, 2023

Data-Driven Stochastic Optimal Control Using Kernel Gradients.

[BibT_eX]

[DOI]

Jake A. Gonzales

Proceedings of the American Control Conference, 2023

2022

Sensor Selection for Dynamics-Driven User-Interface Design.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2022

Characterizing Within-Driver Variability in Driving Dynamics During Obstacle Avoidance Maneuvers.

[BibT_eX]

[DOI]

CoRR, 2022

State-based confidence bounds for data-driven stochastic reachability using Hilbert space embeddings.

[BibT_eX]

[DOI]

Autom., 2022

Data-Driven Chance Constrained Control using Kernel Distribution Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2022

SOCKS: A Stochastic Optimal Control and Reachability Toolbox Using Kernel Methods.

[BibT_eX]

[DOI]

Meeko Oishi

Proceedings of the HSCC '22: 25th ACM International Conference on Hybrid Systems: Computation and Control, Milan, Italy, May 4, 2022

2021

Learning Approximate Forward Reachable Sets Using Separating Kernels.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

SReachTools Kernel Module: Data-Driven Stochastic Reachability Using Hilbert Space Embeddings of Distributions.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Stochastic Optimal Control via Hilbert Space Embeddings of Distributions.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

ARCH-COMP21 Category Report: Stochastic Models.

[BibT_eX]

[DOI]

Proceedings of the 8th International Workshop on Applied Verification of Continuous and Hybrid Systems (ARCH21), 2021

Approximate Stochastic Reachability for High Dimensional Systems.

[BibT_eX]

[DOI]

Vignesh Sivaramakrishnan

Proceedings of the 2021 American Control Conference, 2021

2020

Model-Free Stochastic Reachability Using Kernel Distribution Embeddings.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2020

Data-Driven Stochastic Reachability Using Hilbert Space Embeddings.

[BibT_eX]

[DOI]

CoRR, 2020

Trust-based user-interface design for human-automation systems.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Stochastic Reachability for Systems up to a Million Dimensions.

[BibT_eX]

[DOI]

Vignesh Sivaramakrishnan