Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for
  Cognitive Radars   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) of the state and observation noise
covariance matrices, and embeds the algebraic Riccati equation into an
economics-based utility maximization setup. This adversarial target is an
inverse reinforcement learner. By observing a noisy sequence of radar's
responses (waveforms), the adversarial target uses a statistical hypothesis
test to detect if the radar is a utility maximizer. In turn, the meta-cognitive
radar deliberately chooses sub-optimal responses that increasing its Type-I
error probability of the adversary's detector. We call this counter-adversarial
step taken by the meta-cognitive radar as inverse inverse reinforcement
learning (I-IRL). We illustrate the meta-cognition results of this paper via
simple numerical examples. Our approach for meta-cognition in this paper is
based on revealed preference theory in micro-economics and inspired by results
in differential privacy and adversarial obfuscation in machine learning.

18
The categories of this paper are: econ
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
12
The categories of this paper are: nucl-th
17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
15
The categories of this paper are: nucl-ex