Autonomous Separation Assurance with Deep Multi-Agent Reinforcement Learning-Reference-Cited by-同舟云学术

Autonomous Separation Assurance with Deep Multi-Agent Reinforcement Learning

Published:2021-12 Issue:12 Volume:18 Page:890-905
ISSN:2327-3097
Container-title:Journal of Aerospace Information Systems
language:en
Short-container-title:Journal of Aerospace Information Systems

Author:

Brittain Marc W.¹,Yang Xuxi¹,Wei Peng²

Affiliation:

1. Iowa State University, Ames, Iowa 50011

2. George Washington University, Washington, District of Columbia 20052

Funder

National Science Foundation

Iowa Space Grant Consortium

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Aerospace Engineering

Link

https://arc.aiaa.org/doi/pdf/10.2514/1.I010973

Reference30 articles.

1. National Research Council, Autonomy Research for Civil Aviation: Toward a New Era of Flight, National Academies Press, Washington, D.C., 2014, pp. 23–24. 10.17226/18815

2. Algorithm and operational concept for resolving short-range conflicts

3. Enabling Airspace Integration for High-Density On-Demand Mobility Operations

4. “Revising the Airspace Model for the Safe Integration of Small Unmanned Aircraft Systems,” Amazon Prime Air, 2015, https://images-na.ssl-images-amazon.com/images/G/01/112715/download/Amazon_Revising_the_Airspace_Model_for_the_Safe_Integration_of_sUAS.pdf.

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