Julie Parish

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 7

Top Topics

Markov Decision Problems

Highly Constrained

Dynamical Systems

Reinforcement Learning

Top Venues

J. Optim. Theory Appl.

Publications

Joseph L. Hart, Bart G. van Bloemen Waanders, Lisa Hood, Julie Parish
Sensitivity-Driven Experimental Design to Facilitate Control of Dynamical Systems. J. Optim. Theory Appl. 196 (3) (2023)
Christian T. Coletti, Kyle A. Williams, Hannah C. Lehman, Zahi M. Kakish, Daniel Whitten, Julie Parish
Effectiveness of Warm-Start PPO for Guidance with Highly Constrained Nonlinear Fixed-Wing Dynamics. ACC (2023)
Kyle R. Williams, Rachel Schlossman, Daniel Whitten, Joe Ingram, Srideep Musuvathy, James Pagan, Kyle A. Williams, Sam Green, Anirudh Patel, Anirban Mazumdar, Julie Parish
Trajectory Planning With Deep Reinforcement Learning in High-Level Action Spaces. IEEE Trans. Aerosp. Electron. Syst. 59 (3) (2023)
Zachary C. Goddard, Kenneth Wardlaw, Kyle R. Williams, Julie Parish, Anirban Mazumdar
Utilizing Reinforcement Learning to Continuously Improve a Primitive-Based Motion Planner. J. Aerosp. Inf. Syst. 19 (7) (2022)
Kyle R. Williams, Rachel Schlossman, Daniel Whitten, Joe Ingram, Srideep Musuvathy, Anirudh Patel, James Pagan, Kyle A. Williams, Sam Green, Anirban Mazumdar, Julie Parish
Trajectory Planning with Deep Reinforcement Learning in High-Level Action Spaces. CoRR (2021)
Kyle R. Williams, J. Justin Wilbanks, Rachel Schlossman, David Kozlowski, Julie Parish
Dakota and Pyomo for Closed and Open Box Controller Gain Tuning. CDC (2021)
Manan Gandhi, Rachel Schlossman, Kyle A. Williams, Ryan Melzer, Julie Parish
CUDA for Rapid Controller Robustness Evaluation: A Tutorial. CDC (2021)