Bandit Models for Optimizing Collection
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Complete your application – Enter the rest of the information required for the IC Postdoc Program Research Opportunity. The application itself contains detailed instructions for each one of these components: availability, citizenship, transcripts, dissertation abstract, publication and presentation plan, and information about your Research Advisor co-applicant.
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Research Topic Description, including Problem Statement:
The “multi-armed bandit” problem (named for an array of slot machines with unknown payouts) provides a general framework for selecting among alternatives with uncertain values. Variations have been studied across disciplines and the literature has been broadly applied to problems which feature exploration-exploitation tradeoffs including experiment design, advertising, sales, recommender systems, and anomaly detection.
Several problems across the Intelligence Community (IC) involve an exploration-exploitation tradeoff, and may benefit from being investigated from this perspective. Research for this topic should:
- Establish an appropriate formalism which models a suitable IC problem as a multi-armed bandit problem. Assess the state of the art algorithms appropriate for the formalized problem.
- Investigate how existing algorithms and methods can be adapted or extended to meet the domain specific challenges of the IC.
Example Approaches:
A few example problems that may provide suitable directions for this research:
- Improve tasking of remote sensing assets in order to maximize the intelligence value of collections.
- Improve tasking of space object surveillance and identification assets in order to find new and characterize objects while maintaining custody of previously detected objects.
- Design recommender systems for intelligence analysts.
Relevance to the Intelligence Community:
This research aims to apply a fresh perspective to enduring IC problems. If successful, it will connect them to a growing body of literature, which may continue to provide new approaches.
Key Words: Multi-Armed Bandits, Bayesian Inference, Information Theory, Machine Learning
Postdoc Eligibility
- U.S. citizens only
- Ph.D. in a relevant field must be completed before beginning the appointment and within five years of the application deadline
- Proposal must be associated with an accredited U.S. university, college, or U.S. government laboratory
- Eligible candidates may only receive one award from the IC Postdoctoral Research Fellowship Program
Research Advisor Eligibility
- Must be an employee of an accredited U.S. university, college or U.S. government laboratory
- Are not required to be U.S. citizens
- Citizenship: U.S. Citizen Only
- Degree: Doctoral Degree.
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Discipline(s):
- Chemistry and Materials Sciences (12 )
- Communications and Graphics Design (2 )
- Computer, Information, and Data Sciences (16 )
- Earth and Geosciences (21 )
- Engineering (27 )
- Environmental and Marine Sciences (14 )
- Life Health and Medical Sciences (45 )
- Mathematics and Statistics (10 )
- Other Non-Science & Engineering (2 )
- Physics (16 )
- Science & Engineering-related (1 )
- Social and Behavioral Sciences (27 )
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