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Priority-based DREAM Approach for Highly Manoeuvring Intruders in A Perimeter Defense Problem
In this paper, a Priority-based Dynamic REsource Allocation with decentralized Multi-task assignment (P-DREAM) approach is presented to protect a territory from highly manoeuvring intruders.
A Decentralized Spike-based Learning Framework for Sequential Capture in Discrete Perimeter Defense Problem
The output of MLC-SEFRON contains the labels of segments that a defender has to visit in order to protect the perimeter.
A Decentralized Multi-UAV Spatio-Temporal Multi-Task Allocation Approach for Perimeter Defense
This paper provides a new solution approach to a multi-player perimeter defense game, in which the intruders' team tries to enter the territory, and a team of defenders protects the territory by capturing intruders on the perimeter of the territory.
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