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Adaptive Policies for Perimeter Surveillance Problems
Maximising the detection of intrusions is a fundamental and often critical aim of perimeter surveillance.
Combinatorial Multi-Armed Bandits with Filtered Feedback
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 of feedback, filtered semibandit feedback.
On the Identification and Mitigation of Weaknesses in the Knowledge Gradient Policy for Multi-Armed Bandits
We study its use in a class of exponential family MABs and identify weaknesses, including a propensity to take actions which are dominated with respect to both exploitation and exploration.
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