Army Advances Learning Capabilities of Drone Swarms


[Artist's Concept] Army researchers develop a reinforcement learning approach called Hierarchical Reinforcement Learning that will allow swarms of unmanned aerial and ground vehicles to optimally accomplish various missions while minimizing performance uncertainty on the battlefield (Shutterstock).

Posted: August 17, 2020

ADELPHI, Md. — Army researchers developed a reinforcement learning approach that will allow swarms of unmanned aerial and ground vehicles to optimally accomplish various missions while minimizing performance uncertainty.

Swarming is a method of operations where multiple autonomous systems act as a cohesive unit by actively coordinating their actions.

Army researchers said future multidomain battles will require swarms of dynamically-coupled, coordinated heterogeneous mobile platforms to overmatch enemy capabilities and threats targeting U.S. forces.


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