Kyle R. Williams

Orcid: 0000-0003-2418-0897

Affiliations:

Sandia National Laboratories, Albuquerque, NM, USA
Purdue University, West Lafayette, IN, USA (PhD 2018)

According to our database¹, Kyle R. Williams authored at least 9 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Genetic Action Set Generation for Monte Carlo Tree Search in Six-Degree-of-Freedom Multi-Agent Overmatch.

[BibT_eX]

[DOI]

J. Aerosp. Inf. Syst., 2026

2024

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

[BibT_eX]

[DOI]

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

Leveraging Machine Learning for Generating and Utilizing Motion Primitives in Adversarial Environments.

[BibT_eX]

[DOI]

J. Aerosp. Inf. Syst., 2024

Leveraging Machine Learning to Improve Adaptive Primitive-Based Motion Planning.

[BibT_eX]

[DOI]

J. Aerosp. Inf. Syst., 2024

2023

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

[BibT_eX]

[DOI]

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

Selecting Minimal Motion Primitive Libraries with Genetic Algorithms.

[BibT_eX]

[DOI]

J. Aerosp. Inf. Syst., 2023

2022

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

[BibT_eX]

[DOI]

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

2021

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

[BibT_eX]

[DOI]

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

2018

Real-Time Stochastic Predictive Control for Hybrid Vehicle Energy Management.

[BibT_eX]

[DOI]

Kyle R. Williams

CoRR, 2018

Kyle R. Williams

Timeline

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Bibliography

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