Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars. (arXiv:2205.01794v1 [eess.SP])

Web: http://arxiv.org/abs/2205.01794

This paper considers meta-cognitive radars in an adversarial setting. A
cognitive radar optimally adapts its waveform (response) in response to
maneuvers (probes) of a possibly adversarial moving target. A meta-cognitive
radar is aware of the adversarial nature of the target and seeks to mitigate
the adversarial target. How should the meta-cognitive radar choose its
responses to sufficiently confuse the adversary trying to estimate the radar's
utility function? This paper abstracts the radar's meta-cognition problem in
terms of the spectra (eigenvalues) …

arxiv cognition cognitive learning meta reinforcement reinforcement learning