A Multi-Agent Reinforcement Learning Approach to Traffic Control at Future Urban Air Mobility Intersections-Reference-Cited by-同舟云学术

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A Multi-Agent Reinforcement Learning Approach to Traffic Control at Future Urban Air Mobility Intersections

Published:2022-01-03 Issue: Volume: Page:
ISSN:
Container-title:AIAA SCITECH 2022 Forum
language:
Short-container-title:

Author:

Deniz Sabrullah¹,Wang Zhenbo¹

Affiliation:

1. The University of Tennessee Knoxville Tickle College of Engineering

Publisher

American Institute of Aeronautics and Astronautics

Link

https://arc.aiaa.org/doi/pdf/10.2514/6.2022-1509

Reference39 articles.

1. D. Sources, "Office of Aviation Policy and Plans ( APO-100 ) FAA U . S . Passenger Airline Forecasts , Fiscal Years 2020-2040," pp.1-66, 2020.

2. S. Bradford, "Urban Air Mobility (UAM) Concept of Operations v1.0," pp.1-42, 2020.

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