24 citations · 27 across the 7 of their papers we have counts for
8 papers
Robust Patrol in a Dispersed Environment
Edward Mellor, Kevin Glazebrook, Kyle Lin +1
We consider a patrol problem in which a patroller moves among several geographically dispersed locations to detect attackers that arrive over time. Once the patroller arrives at a…
A New Simheuristic Approach for Stochastic Runway Scheduling
Rob Shone, Kevin Glazebrook, Konstantinos G. Zografos
We consider a stochastic, dynamic runway scheduling problem involving aircraft landings on a single runway. Sequencing decisions are made with knowledge of the estimated arrival ti…
A stochastic game framework for patrolling a border
Matthew Darlington, Kevin D. Glazebrook, David S. Leslie +2
In this paper we consider a stochastic game for modelling the interactions between smugglers and a patroller along a border. The problem we examine involves a group of cooperating…
A Classical Search Game in Discrete Locations
Jake Clarkson, Kyle Y. Lin, Kevin D. Glazebrook
Consider a two-person zero-sum search game between a hider and a searcher. The hider hides among discrete locations, and the searcher successively visits individual locations u…
Adaptive Policies for Perimeter Surveillance Problems
James A. Grant, David S. Leslie, Kevin Glazebrook +2
Maximising the detection of intrusions is a fundamental and often critical aim of perimeter surveillance. Commonly, this requires a decision-maker to optimally allocate multiple se…
Combinatorial Multi-Armed Bandits with Filtered Feedback
James A. Grant, David S. Leslie, Kevin Glazebrook +1
Motivated by problems in search and detection we present a solution to a Combinatorial Multi-Armed Bandit (CMAB) problem with both heavy-tailed reward distributions and a new class…