Poster - A Series of Unlikely Events
• Poster
The poster summarizes learning from sequential behavior for activity-based intelligence and modeling human expertise.
Publisher
Software Engineering Institute
Topic or Tag
Abstract
Modeling patterns of sequential behavior is a task that underlies numerous difficult artificial intelligence tasks. Imitation Learning (IL) techniques are an efficient and effective means to perform activity-based intelligence or to help automate the education of novices on how to perform tasks like experts. The goals of this work are to investigate the practicality of applying IL to behavioral modeling problems; apply IL techniques to DoD/IC relevant problems; and develop techniques that are able to explain, simulate, and demonstrate expert behavior.
Part of a Collection
CMU SEI Research Review 2020 Day 1 Artifacts