Optimizing Human Input in Social Network Analysis (Topic 10.1.4 - Human Networks)
Abstract
The study focused on developing new bandit algorithms for online optimization (e.g. matching tasks to human agents). The attached technical reports provide details on the formulations and results. Specifically, the technical reports focused on a backlog minimization formulation for matching tasks and agents, as well as a contextual bandit formulation focusing on dimensionality reduction.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Dec 04, 2018
- Source ID
- W911NF1610377
Entities
People
- Sanjay Shakkottai
Organizations
- Army Contracting Command
- United States Army
- University of Texas at Austin