Julie Parish

According to our database, Julie Parish authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Explainable AI and Robustness-Based Test and Evaluation of Reinforcement Learning.

Ali K. Raz, Kshitij Mall, Sean Matthew Nolan, Winston Levin, Linas Mockus, Kristopher L. Ezra, Ahmad Mia, Kyle R. Williams, Julie Parish

IEEE Trans. Aerosp. Electron. Syst., October, 2024

2023

Trajectory Planning With Deep Reinforcement Learning in High-Level Action Spaces.

Kyle R. Williams, Rachel Schlossman, Daniel Whitten, Joe Ingram, Srideep Musuvathy, James Pagan, Kyle A. Williams, Sam Green, Anirudh Patel, Anirban Mazumdar, Julie Parish

IEEE Trans. Aerosp. Electron. Syst., June, 2023

Sensitivity-Driven Experimental Design to Facilitate Control of Dynamical Systems.

Joseph L. Hart, Bart G. van Bloemen Waanders, Lisa Hood, Julie Parish

J. Optim. Theory Appl., March, 2023

Effectiveness of Warm-Start PPO for Guidance with Highly Constrained Nonlinear Fixed-Wing Dynamics.

Christian T. Coletti, Kyle A. Williams, Hannah C. Lehman, Zahi M. Kakish, Daniel Whitten, Julie Parish

Proceedings of the American Control Conference, 2023

2022

Utilizing Reinforcement Learning to Continuously Improve a Primitive-Based Motion Planner.

Zachary C. Goddard, Kenneth Wardlaw, Kyle R. Williams, Julie Parish, Anirban Mazumdar

J. Aerosp. Inf. Syst., July, 2022

2021

Dakota and Pyomo for Closed and Open Box Controller Gain Tuning.

Kyle R. Williams, J. Justin Wilbanks, Rachel Schlossman, David Kozlowski, Julie Parish

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

CUDA for Rapid Controller Robustness Evaluation: A Tutorial.

Manan Gandhi, Rachel Schlossman, Kyle A. Williams, Ryan Melzer, Julie Parish

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