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A Series of Unlikely Events

Poster
By
This is a poster that represents SEI research using inverse reinforcement learning for activity-based intelligence
Publisher

Software Engineering Institute

Abstract

Modeling patterns of behavior is a task that underlies numerous difficult artificial intelligence tasks, such as How do I detect when adversaries are deviating from normal routines? How can I automate the teaching of novice analysts to perform complex tasks as if they were expert analysts? In this work, we use a class of techniques called Inverse Reinforcement Learning (IRL) to model sequential behavior to answer questions like these and others.