5 papers
Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management
Ziyang Lu, M. Cenk Gursoy, Chilukuri K. Mohan +1
In this paper, multi-target tracking and scanning are considered in a radar system operating in the track-while-scan mode. Specifically, time allocation for radar scanning and trac…
Distilling Deep Reinforcement Learning into Interpretable Fuzzy Rules: An Explainable AI Framework
Sanup S. Araballi, Simon Khan, Chilukuri K. Mohan
Deep Reinforcement Learning (DRL) agents achieve remarkable performance in continuous control but remain opaque, hindering deployment in safety-critical domains. Existing explainab…
Adaptive Resource Management in Cognitive Radar via Deep Deterministic Policy Gradient
Ziyang Lu, M. Cenk Gursoy, Chilukuri K. Mohan +1
In this paper, scanning for target detection, and multi-target tracking in a cognitive radar system are considered, and adaptive radar resource management is investigated. In parti…
Explainable AI for Radar Resource Management: Modified LIME in Deep Reinforcement Learning
Ziyang Lu, M. Cenk Gursoy, Chilukuri K. Mohan +1
Deep reinforcement learning has been extensively studied in decision-making processes and has demonstrated superior performance over conventional approaches in various fields, incl…
Multi-Objective Reinforcement Learning for Cognitive Radar Resource Management
Ziyang Lu, Subodh Kalia, M. Cenk Gursoy +2
The time allocation problem in multi-function cognitive radar systems focuses on the trade-off between scanning for newly emerging targets and tracking the previously detected targ…