Hierarchical Reinforcement Learning with Deep Nested Agents. - Marc Brittain; Peng Wei (CoRR, 2018)

Autonomous Separation Assurance in An High-Density En Route Sector: A Deep Multi-Agent Reinforcement Learning Approach. - Marc Brittain; Peng Wei (ITSC, 2019)

Autonomous Air Traffic Controller: A Deep Multi-Agent Reinforcement Learning Approach. - Marc Brittain; Peng Wei (CoRR, 2019)

Prioritized Sequence Experience Replay. - Marc Brittain; Joshua R. Bertram; Xuxi Yang; Peng Wei (CoRR, 2019)

A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance. - Marc Brittain; Xuxi Yang; Peng Wei (CoRR, 2020)

Benchmarking the Processing of Aircraft Tracks with Triples Mode and Self-Scheduling. - Andrew J. Weinert; Marc Brittain; Ngaire Underhill; Christine Serres (HPEC, 2021)

Safety Enhancement for Deep Reinforcement Learning in Autonomous Separation Assurance. - Wei Guo; Marc Brittain; Peng Wei (ITSC, 2021)

Benefits of Realist Ontologies to Systems Engineering. - Eric C. Merrell; Robert M. Kelly; David Kasmier; Barry Smith 001; Marc Brittain; Ronald Ankner; Evan Maki; Curtis W. Heisey; Kevin Bush (JOWO, 2021)

Ontology of Plays for Autonomous Teaming and Collaboration. - David Kasmier; Eric Merrell; Robert M. Kelly; Barry Smith 001; Curtis W. Heisey; Donald Evan Maki; Marc Brittain; Ronald Ankner; Kevin Bush (ONTOBRAS, 2021)

Autonomous Separation Assurance with Deep Multi-Agent Reinforcement Learning. - Marc W. Brittain; Xuxi Yang; Peng Wei (J. Aerosp. Inf. Syst., 2021)

Collision Risk and Operational Impact of Speed Change Advisories as Aircraft Collision Avoidance Maneuvers. - Sydney M. Katz; Luis E. Alvarez; Michael P. Owen; Samuel Wu; Marc Brittain; Anshuman Das; Mykel J. Kochenderfer (CoRR, 2022)

AAM-Gym: Artificial Intelligence Testbed for Advanced Air Mobility. - Marc Brittain; Luis E. Alvarez; Kara Breeden; Ian Jessen (CoRR, 2022)

Reward Function Optimization of a Deep Reinforcement Learning Collision Avoidance System. - Cooper Cone; Michael P. Owen; Luis E. Alvarez; Marc Brittain (CoRR, 2022)

Scalable Autonomous Separation Assurance With Heterogeneous Multi-Agent Reinforcement Learning. - Marc Brittain; Peng Wei (IEEE Trans Autom. Sci. Eng., 2022)

Towards a Standardized Reinforcement Learning Framework for AAM Contingency Management. - Luis E. Alvarez; Marc W. Brittain; Kara Breeden (CoRR, 2023)

Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks. - Marc W. Brittain; Luis E. Alvarez; Kara Breeden (AAAI, 2024)

Tradeoffs When Considering Deep Reinforcement Learning for Contingency Management in Advanced Air Mobility. - Luis E. Alvarez; Marc W. Brittain; Steven D. Young (CoRR, 2024)

Integrated Conflict Management for UAM With Strategic Demand Capacity Balancing and Learning-Based Tactical Deconfliction. - Shulu Chen; Antony Evans; Marc Brittain; Peng Wei (IEEE Trans. Intell. Transp. Syst., 2024)