Test and Evaluation of Reinforcement Learning via Robustness Testing and Explainable AI for High-Speed Aerospace Vehicles-Reference-Cited by-同舟云学术

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Test and Evaluation of Reinforcement Learning via Robustness Testing and Explainable AI for High-Speed Aerospace Vehicles

Published:2022-03-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Aerospace Conference (AERO)
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Author:

Raz Ali K.¹,Nolan Sean Matthew²,Levin Winston²,Mall Kshitij²,Mia Ahmad¹,Mockus Linas²,Ezra Kris²,Williams Kyle³

Affiliation:

1. George Mason University,Systems Engineering and Operations Research,Fairfax,VA,22030

2. School of Aeronautics and Astronautics, Purdue University,West Lafayette,IN,47907

3. Autonomous Sensing and Control, Sandia National Laboratories,Albuquerque,NM,87185

Funder

Laboratory Directed Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9843190/9843194/09843563.pdf?arnumber=9843563

Reference38 articles.

1. Model predictive control: Theory and practice—A survey

2. A unified approach to interpreting model predictions;lundberg;Advances in neural information processing systems,2017

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reinforcement Learning Derived High-Alpha Aerobatic Manoeuvres for Fixed Wing Operation in Confined Spaces;Algorithms;2023-08-10

2. Explainable AI and Counterfactuals for Test and Evaluation of Intelligent Engineered Systems;INCOSE International Symposium;2023-07

3. Sensor Tasking for Space Situation Awareness: Combining Reinforcement Learning and Causality;2023 IEEE Aerospace Conference;2023-03-04

4. Motion-Primitive based Deep Reinforcement Learning for High Speed Aerospace Vehicle Missions;AIAA SCITECH 2023 Forum;2023-01-19

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