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 | 77 | 2019 |
Prioritized sequence experience replay M Brittain, J Bertram, X Yang, P Wei Advances in Neural Information Processing Systems, (NeurIPS 2019): Deep …, 2019 | 62 | 2019 |
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 | 55 | 2021 |
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 | 52 | 2021 |
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 | 49 | 2019 |
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 | 42 | 2022 |
A deep multi-agent reinforcement learning approach to autonomous separation assurance M Brittain, X Yang, P Wei arXiv preprint arXiv:2003.08353, 2020 | 38 | 2020 |
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 | 30 | 2021 |
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 | 29 | 2022 |
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 | 23 | 2021 |
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 | 21 | 2024 |
Online flight planner with dynamic obstacles for urban air mobility J Bertram, X Yang, MW Brittain, P Wei AIAA Aviation 2019 Forum, 3625, 2019 | 18 | 2019 |
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 | 11 | 2022 |
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 | 10 | 2022 |
Learning-based decision making for safe and scalable autonomous separation assurance MW Brittain Iowa State University, 2021 | 7 | 2021 |
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 | 6 | 2021 |
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 | 6 | 2020 |
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 | 5 | 2023 |
Computer vision for small uas onboard pedestrian detection X Yang, M Murphy, MW Brittain, P Wei Aiaa Aviation 2020 Forum, 3270, 2020 | 5 | 2020 |
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 | 5 | 2018 |