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OverviewU.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. Full Product DetailsAuthor: Li Ang Zhang , Jia Xu , Dara Gold , Jeff HagenPublisher: RAND Imprint: RAND Dimensions: Width: 21.60cm , Height: 0.40cm , Length: 28.00cm Weight: 0.186kg ISBN: 9781977405159ISBN 10: 1977405150 Pages: 70 Publication Date: 15 August 2020 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |