4 papers
Learning an Opponent-aware Anti-jamming Strategy via Online Convex Optimization
Liangqi Liu, Wenqiang Pu, Yingru Li +1
The dynamic competition against intelligent jammer systems presents a significant challenge to modern radar. Traditional active anti-jamming strategy learning methods often suffer…
Optimistic Thompson Sampling for No-Regret Learning in Unknown Games
Yingru Li, Liangqi Liu, Wenqiang Pu +2
This work tackles the complexities of multi-player scenarios in \emph{unknown games}, where the primary challenge lies in navigating the uncertainty of the environment through band…
Radar Anti-jamming Strategy Learning via Domain-knowledge Enhanced Online Convex Optimization
Liangqi Liu, Wenqiang Pu, Yingru Li +2
The dynamic competition between radar and jammer systems presents a significant challenge for modern Electronic Warfare (EW), as current active learning approaches still lack sampl…
Counterfactual Regret Minimization for Anti-jamming Game of Frequency Agile Radar
Huayue Li, Zhaowei Han, Wenqiang Pu +3
The competition between radar and jammer is one emerging issue in modern electronic warfare, which in principle can be viewed as a non-cooperative game with two players. In this wo…