CUDA for Rapid Controller Robustness Evaluation: A Tutorial. - Manan Gandhi; Rachel Schlossman; Kyle A. Williams; Ryan Melzer; Julie Parish (CDC, 2021)

Dakota and Pyomo for Closed and Open Box Controller Gain Tuning. - Kyle R. Williams; J. Justin Wilbanks; Rachel Schlossman; David Kozlowski; Julie Parish (CDC, 2021)

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., 2022)

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 (ACC, 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., 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., 2023)

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., 2024)