Air Dominance Through Machine Learning: A Preliminary Exploration of Artificial Intelligence-Assisted Mission Planning

Li Ang Zhang,Jia Xu,Dara Gold,Jeff Hagen,Ajay K Kochhar

Air Dominance Through Machine Learning: A Preliminary Exploration of Artificial Intelligence-Assisted Mission Planning
Format
Paperback
Publisher
RAND
Country
United States
Published
15 August 2020
Pages
70
ISBN
9781977405159

Air Dominance Through Machine Learning: A Preliminary Exploration of Artificial Intelligence-Assisted Mission Planning

Li Ang Zhang,Jia Xu,Dara Gold,Jeff Hagen,Ajay K Kochhar

U.S. air superiority is being challenged by competitors. The authors of this report demonstrate a prototype of a proof-of-concept artificial intelligence system to help develop and evaluate new concepts of operations for the air domain. The initial findings highlight both the potential of reinforcement learning to tackle complex, collaborative air mission planning problems, and some significant challenges facing this approach.

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