Toward Conflict Resolution with Deep Multi-Agent Reinforcement Learning-Reference-Cited by-同舟云学术

Toward Conflict Resolution with Deep Multi-Agent Reinforcement Learning

Published:2022-07 Issue:3 Volume:30 Page:71-80
ISSN:2380-9450
Container-title:Journal of Air Transportation
language:en
Short-container-title:Journal of Air Transportation

Author:

Isufaj Ralvi¹^ORCID,Aranega Sebastia David²,Angel Piera Miquel¹

Affiliation:

1. Autonomous University of Barcelona, 08202 Sabadell, Spain

2. Autonomous University of Barcelona, 08193 Bellaterra, Spain

Funder

SESAR Joint Undertaking

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Management of Technology and Innovation,Management, Monitoring, Policy and Law,Energy (miscellaneous),Safety Research,Transportation,Aerospace Engineering

Link

https://arc.aiaa.org/doi/pdf/10.2514/1.D0296

Reference20 articles.

1. Overall safety performance of the air traffic management system: Indicators and analysis

2. ATM performance measurement in Europe, the US and China

3. Factors Affecting Air Traffic Controller Workload: Multivariate Analysis Based on Simulation Modeling of Controller Workload

4. Conflict Detection and Resolution for Civil Aviation: A Literature Survey

5. Conflict resolution problems for air traffic management systems solved with mixed integer programming

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