Multi-agent reinforcement learning satellite guidance for triangulation of a moving object in a relative orbit frame

Authors

Nicholas Yielding, Air Force Institute of Technology
Joseph Curro, Defense Threat Reduction Agency
Stephen C. Cain, Air Force Institute of TechnologyFollow

Document Type

Article

Publication Date

10-10-2023

Comments

This article is published by Sage Publications and is available to subscribers through the DOI link below.

The version of record for the article was published online in October 2023 ahead of inclusion in a future issue of JDMS.

DOI

10.1177/15485129231197437

Source Publication

The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology (ISSN 1548-5129 | e-ISSN 1557-380X)

Recommended Citation

Yielding, N., Curro, J., & Cain, S. C. (2023). Multi-agent reinforcement learning satellite guidance for triangulation of a moving object in a relative orbit frame. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 15485129231197437. https://doi.org/10.1177/15485129231197437