Marc Brittain

Orcid: 0000-0002-0707-1034

According to our database1, Marc Brittain authored at least 17 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Towards a Standardized Reinforcement Learning Framework for AAM Contingency Management.
CoRR, 2023

Integrated Conflict Management for UAM with Strategic Demand Capacity Balancing and Learning-based Tactical Deconfliction.
CoRR, 2023

2022
Scalable Autonomous Separation Assurance With Heterogeneous Multi-Agent Reinforcement Learning.
IEEE Trans Autom. Sci. Eng., 2022

Reward Function Optimization of a Deep Reinforcement Learning Collision Avoidance System.
CoRR, 2022

AAM-Gym: Artificial Intelligence Testbed for Advanced Air Mobility.
CoRR, 2022

Collision Risk and Operational Impact of Speed Change Advisories as Aircraft Collision Avoidance Maneuvers.
CoRR, 2022

2021
Autonomous Separation Assurance with Deep Multi-Agent Reinforcement Learning.
J. Aerosp. Inf. Syst., December, 2021

Ontology of Plays for Autonomous Teaming and Collaboration.
Proceedings of the XIV Seminar on Ontology Research in Brazil (ONTOBRAS 2021) and V Doctoral and Masters Consortium on Ontologies (WTDO 2021), 2021

Benefits of Realist Ontologies to Systems Engineering.
Proceedings of the Joint Ontology Workshops 2021 Episode VII: The Bolzano Summer of Knowledge co-located with the 12th International Conference on Formal Ontology in Information Systems (FOIS 2021), 2021

Safety Enhancement for Deep Reinforcement Learning in Autonomous Separation Assurance.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Benchmarking the Processing of Aircraft Tracks with Triples Mode and Self-Scheduling.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

2020
A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance.
CoRR, 2020

2019
Prioritized Sequence Experience Replay.
CoRR, 2019

Autonomous Air Traffic Controller: A Deep Multi-Agent Reinforcement Learning Approach.
CoRR, 2019

Autonomous Separation Assurance in An High-Density En Route Sector: A Deep Multi-Agent Reinforcement Learning Approach.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Hierarchical Reinforcement Learning with Deep Nested Agents.
CoRR, 2018


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