141 citations · 141 across the 1 of their papers we have counts for
2 papers
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…
cs.LG2020
Experimental Analysis of Reinforcement Learning Techniques for Spectrum Sharing Radar
Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone +1
In this work, we first describe a framework for the application of Reinforcement Learning (RL) control to a radar system that operates in a congested spectral setting. We then comp…