Deep Reinforcement Learning Methods and Simulated Learning Environments for Counter-Unmanned Aircraft Systems (C-UAS) Applications

Office:

DTRA - Air Platform, Ground/Sea Vehicles, Information Systems

Topic Description:

To develop advanced artificial intelligence (AI) for competitive offensive as well as defensive unmanned systems to counter hostile threats that lead to degraded performance. This topic seeks development of (1) computational methods that use a single reinforcement agent to solve complex, multi-task problems and (2) simulated learning environments that can be used to train as well as to evaluate putative solutions.

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Department:

Department of Defense

Online link:

https://smallbusiness.ll.mit.edu/sbo/sites/default/files/forms/11_DTRA_19.2_SBIR.pdf

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Topic ID:

DTRA192-002

Expiration date:

Monday, July 1, 2019

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Deep Reinforcement Learning Methods and Simulated Learning Environments for Counter-Unmanned Aircraft Systems (C-UAS) Applications