Featured Publications
- M. Brittain, J. Bertram, X. Yang, and P. Wei, Prioritized Sequence Experience Replay, NeurIPS 2019 Workshop on Deep Reinforcement Learning
- M. Brittain, X. Yang, and P. Wei, Autonomous Separation Assurance with Deep Multi-Agent Reinforcement Learning. Journal of Aerospace Information Systems,2021: 1-16
- M. Brittain and P.Wei, Autonomous Air Traffic Controller: A Deep Multi-Agent Reinforcement Learning Approach, June 2019, ICML 2019 Workshop: RL for Real Life, Long Beach, California
2021
- M. Brittain, X. Yang, and P. Wei, Autonomous Separation Assurance with Deep Multi-Agent Reinforcement Learning. Journal of Aerospace Information Systems,2021: 1-16
- W. Guo, M. Brittain, and P. Wei, Safety Enhancement for Deep Reinforcement Learning in Autonomous Separation Assurance. Accepted to IEEE Intelligent Transportation Systems Conference, Indianapolis, Indiana
- A. Weinert, M. Brittain, N. Underhill, and C. Serres, Benchmarking the Process- ing of Aircraft Tracks with Triples Mode and Self-Scheduling. Accepted to IEEE High Performance Extreme Computing, 2021
- M. Brittain, J. Nagawkar, P. Wei, and L. Leifsson, Multifidelity Aerodynamic Flow Field Prediction Using Conditional Adversarial Networks. AIAA Aviation 2021
- J. Nagawkar, M. Brittain, and L. Leifsson, Multi fidelity Aerodynamic Flow Field Prediction Using Random Forests. AIAA Aviation 2021
- M. Brittain and P. Wei, One to Any: Distributed Conflict Resolution with Deep Multi-Agent Reinforcement Learning and Long Short-Term Memory, AIAA 2021-1952. AIAA Scitech 2021 Forum. January 2021
2020
- M. Brittain and P. Wei, Scalable Autonomous Separation Assurance with Heterogeneous Multi-Agent Reinforcement Learning. Submitted to IEEE Transactions on Automation Science and Engineering, 2020
- A. Weinert, M. Brittain, and R. Guendel, Frequency of ADS-B Equipped Manned Aircraft Observed by the OpenSky Network, Proceedings 2020, 59, 15., doi:10.3390/proceedings2020059015
- C. Heisey, M. Brittain, D. Maki, and K. Bush, Multi-Agent Systems Collaborative Teaming (MASCOT) Definition Process to Create Specifications for Multi-Agent System (MAS) Development, November 2020, Accepted to International Command and Control Research and Technology Symposium
- X. Yang, M. Murphy, M. Brittain and Peng Wei, Computer Vision for Small UAS Onboard Pedestrian Detection, AIAA 2020-3270. AIAA AVIATION 2020 FORUM. June 2020
2019
- M. Brittain and P. Wei, Autonomous Separation Assurance in A High-Density En-Route Sector: A Deep Multi-Agent Reinforcement Learning Approach, 27-30 October 2019, Accepted to IEEE Intelligent Transportation Systems Conference, Auckland, New Zealand
- M. Brittain, J. Bertram, X. Yang, and P. Wei, Prioritized Sequence Experience Replay, Accepted to NeurIPS 2019 Workshop on Deep Reinforcement Learning, arXiv preprint arXiv:1905.12726
- M. Brittain and P.Wei, Autonomous Air Traffic Controller: A Deep Multi-Agent Reinforcement Learning Approach, June 2019, ICML 2019 Workshop: RL for Real Life, Long Beach, California
- J. Bertram, X. Yang, M. Brittain, and P. Wei, Online Flight Planner with Dynamic Obstacles for Urban Air Mobility, June 2019, AIAA Aviation Conference, Dallas, Texas
2018
- M. Brittain and P. Wei, Autonomous Sequencing and Separation with Hierarchical Deep Reinforcement Learning, 25-29 June 2018, ICRAT conference, Barcelona, Spain
- M. Brittain and P. Wei, Towards Autonomous Air Traffic Control for Sequencing and Separation - A Deep Reinforcement Learning Approach, 25-29 June 2018, AIAA Aviation Conference, Atlanta, Georgia
- M. Brittain and P.Wei, Hierarchical Reinforcement Learning with Deep Nested Agents, 2018 arXiv:1805.07008
List of publications are also available on Google Scholar