Machine Learning for Intelligent Agent and Human Decision Making
Abstract
This effort researches methodologies and algorithms for machine learning with incomplete, unstructured, potentially deceptive and heterogeneous information, enabling joint decision making for Intelligent Agent-Human teams which adapt to unknown environments and missions. Research includes methods for learning and decision making that occur under short time frames and constrained resources (e.g., computation, power, spectrum and networks).
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2021
- Source ID
- d6db8de69ca1a952192dad07ecb05d07