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Marc W. Brittain
Marc W. Brittain
John Hopkins University Applied Physics Lab
Adresă de e-mail confirmată pe jhuapl.edu - Pagina de pornire
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Autonomous air traffic controller: A deep multi-agent reinforcement learning approach
M Brittain, P Wei
International Conference on Machine Learning: ICML 2019 RL for Real Life …, 2019
772019
Prioritized sequence experience replay
M Brittain, J Bertram, X Yang, P Wei
Advances in Neural Information Processing Systems, (NeurIPS 2019): Deep …, 2019
622019
One to any: Distributed conflict resolution with deep multi-agent reinforcement learning and long short-term memory
MW Brittain, P Wei
AIAA Scitech 2021 Forum, 1952, 2021
552021
Autonomous aircraft sequencing and separation with hierarchical deep reinforcement learning
M Brittain, P Wei
Learning-based decision making for safe and scalable autonomous separation …, 2021
522021
Autonomous separation assurance in an high-density en route sector: A deep multi-agent reinforcement learning approach
M Brittain, P Wei
2019 IEEE intelligent transportation systems conference (ITSC), 3256-3262, 2019
492019
Scalable autonomous separation assurance with heterogeneous multi-agent reinforcement learning
M Brittain, P Wei
IEEE Transactions on automation science and engineering 19 (4), 2837-2848, 2022
422022
A deep multi-agent reinforcement learning approach to autonomous separation assurance
M Brittain, X Yang, P Wei
arXiv preprint arXiv:2003.08353, 2020
382020
Autonomous separation assurance with deep multi-agent reinforcement learning
MW Brittain, X Yang, P Wei
Journal of Aerospace Information Systems 18 (12), 890-905, 2021
302021
A survey of eVTOL aircraft and AAM operation hazards
EL Thompson, AG Taye, W Guo, P Wei, M Quinones, I Ahmed, G Biswas, ...
AIAA AVIATION 2022 Forum, 3539, 2022
292022
Safety enhancement for deep reinforcement learning in autonomous separation assurance
W Guo, M Brittain, P Wei
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
232021
Integrated conflict management for uam with strategic demand capacity balancing and learning-based tactical deconfliction
S Chen, AD Evans, M Brittain, P Wei
IEEE Transactions on Intelligent Transportation Systems 25 (8), 10049-10061, 2024
212024
Online flight planner with dynamic obstacles for urban air mobility
J Bertram, X Yang, MW Brittain, P Wei
AIAA Aviation 2019 Forum, 3625, 2019
182019
Aam-gym: Artificial intelligence testbed for advanced air mobility
M Brittain, LE Alvarez, K Breeden, I Jessen
2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC), 1-10, 2022
112022
Collision risk and operational impact of speed change advisories as aircraft collision avoidance maneuvers
SM Katz, LE Alvarez, M Owen, S Wu, MW Brittain, A Das, ...
AIAA AVIATION 2022 Forum, 3824, 2022
102022
Learning-based decision making for safe and scalable autonomous separation assurance
MW Brittain
Iowa State University, 2021
72021
Benchmarking the processing of aircraft tracks with triples mode and self-scheduling
A Weinert, M Brittain, N Underhill, C Serres
2021 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2021
62021
A deep multi-agent reinforcement learning approach to autonomous separation assurance. arXiv 2020
M Brittain, X Yang, P Wei
arXiv preprint arXiv:2003.08353, 2020
62020
Reward function optimization of a deep reinforcement learning collision avoidance system
C Cone, M Owen, LE Alvarez, MW Brittain
AIAA SCITECH 2023 Forum, 2155, 2023
52023
Computer vision for small uas onboard pedestrian detection
X Yang, M Murphy, MW Brittain, P Wei
Aiaa Aviation 2020 Forum, 3270, 2020
52020
Towards autonomous air trac control for sequencing and separation-a deep reinforcement learning approach
MW Brittain, P Wei
2018 Aviation Technology, Integration, and Operations Conference, 3664, 2018
52018
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