Military stochastic scheduling treated as a "multi-armed bandit" problem

A Blue airborne force attacks a region defended by a single Red surface-to-air missile system (SAM). Red is uncertain about the Blues he faces, but is able to learn about them during the engagement. Red's objective is to develop a policy for shooting at the Blues to maximize the value of Blues...

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Bibliographic Details
Main Author: Glazebrook, Kevin D.
Other Authors: Operations Research
Format: Report
Language:unknown
Published: Monterey, California. Naval Postgraduate School 2001
Subjects:
Marine mammals
Harp
Baleen whales
Toothed whales
baleen whales
toothed whales
Online Access:https://hdl.handle.net/10945/15377
Description
Summary:A Blue airborne force attacks a region defended by a single Red surface-to-air missile system (SAM). Red is uncertain about the Blues he faces, but is able to learn about them during the engagement. Red's objective is to develop a policy for shooting at the Blues to maximize the value of Blues shot down before he himself is destroyed. We show that index policies are optimal for Red in a range of scenarios and yield effective heuristics more generally. The quality of such index heuristics is confirmed in a computational study. Contract number: N00244-10-10031.

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