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Found 5 papers, 1 papers with code
How can a Radar Mask its Cognition?
We provide theoretical guarantees by ensuring the Type-I error probability of the adversary's detector exceeds a pre-defined level for a specified tolerance on the radar's performance loss.
Inverse-Inverse Reinforcement Learning. How to Hide Strategy from an Adversarial Inverse Reinforcement Learner
In this paper, we consider how an agent can hide its strategy and mitigate an adversarial IRL attack; we call this inverse IRL (I-IRL).
Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars
A meta-cognitive radar is aware of the adversarial nature of the target and seeks to mitigate the adversarial target.
How can a Cognitive Radar Mask its Cognition?
In turn, the radar deliberately chooses sub-optimal responses so that its utility function almost fails the utility maximization test, and hence, its cognitive ability is masked from the adversary.
Dirichlet Process Gaussian-mixture model: An application to localizing coalescing binary neutron stars with gravitational-wave observations
We reconstruct posterior distributions for the position (sky area and distance) of a simulated set of binary neutron-star gravitational-waves signals observed with Advanced LIGO and Advanced Virgo.
Instrumentation and Methods for Astrophysics General Relativity and Quantum Cosmology
