Cooperative Planning for an Unmanned Combat Aerial Vehicle Fleet Using Reinforcement Learning
Author:
Affiliation:
1. Cranfield University, Cranfield, England MK43 0AL, United Kingdom
2. Digital Transformation Office, Presidency of the Republic of Turkey, 06550 Ankara, Turkey
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.I010961
Reference13 articles.
1. Path Planning in Two Dimensions
2. Cooperative Control of Multiple UCAVs for Suppression of Enemy Air Defense
3. A Virtual Motion Camouflage Approach for Cooperative Trajectory Planning of Multiple UCAVs
4. Multi-Agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning
5. Interference Management for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach
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