Hybrid Learning for Mission-Focused Artificial Intelligence: Application to StarCraft
Abstract
Hybrid Learning for Mission-Focused Artificial Intelligence: Application to StarCraft. The objective of the proposed effort is to develop an artificial intelligence (AI) platform that can efficiently represent, cluster, classify, and predict evolution of tactical and intelligence picture in missions-focused environment. The key innovation of our approach is a hybrid AI model that couples traditional statistical machine learning techniques with dynamical system and neuroinspired learning. This proposal will pursue basic and applied research in AI to adapt fundamental principles of hybrid learning to enable reduced-dimensional representation and causal analysis and prediction in mission-focused applications. The proposal will use StarCraft-II environment for data generation, training, and evaluation of the hybrid AI platform.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 08, 2020
- Source ID
- N000142012432
Entities
People
- Saibal Mukhopadhyay
Organizations
- Georgia Tech Research Corporation
- Office of Naval Research
- United States Navy