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

Personal Author(s):

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.

Subject Categories:

  • Operations Research
  • Cybernetics

Distribution Statement:

[A, Approved For Public Release]