most citedDeep Reinforcement Learning Control for Radar Detection and Tracking in Congested Spectral Environments

141 citations · 141 across the 1 of their papers we have counts for

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1 paper

eess.SP2020★ 141 cited

Deep Reinforcement Learning Control for Radar Detection and Tracking in Congested Spectral Environments

Charles E. Thornton, Mark A. Kozy, R. Michael Buehrer +2

In this paper, dynamic non-cooperative coexistence between a cognitive pulsed radar and a nearby communications system is addressed by applying nonlinear value function approximati…