Scalable Autonomous Separation Assurance With Heterogeneous Multi-Agent Reinforcement Learning

Author:

Brittain Marc1ORCID,Wei Peng2ORCID

Affiliation:

1. Department of Aerospace Engineering, Iowa State University, Ames, IA, USA

2. Department of Mechanical and Aerospace Engineering, George Washington University, Washington, DC, USA

Funder

National Science Foundation

NASA Iowa Space Grant

NVIDIA GPU Grant Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference57 articles.

1. Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning

2. Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

3. Improvement of conflict detection and resolution at high densities through reinforcement learning;ribeiro;Proc Int Conf Res Air Transp,2020

4. An Interactive Conflict Solver for Learning Air Traffic Conflict Resolutions

5. A machine learning approach for conflict resolution in dense traffic scenarios with uncertainties;pham;Proc 13th USA/Europe ATM R&D Seminar,2019

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