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Accession Number:
AD1017108
Title:
Stochastic Online Learning in Dynamic Networks under Unknown Models
Descriptive Note:
[Technical Report, Final Report]
Corporate Author:
University of California - Davis
Report Date:
2016-08-02
Pagination or Media Count:
15
Abstract:
This research aims to develop fundamental theories and practical algorithms for distributed, robust, and real-time learning in dynamic tactical networks. The overall objective is to significantly move the frontiers of knowledge in stochastic learning in the classic multi-armed bandit by systematically relaxing traditionally adopted restrictive assumptions.
Distribution Statement:
[A, Approved For Public Release]