Eric Heim
Software Engineering Institute
Publications by Eric Heim
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Knowing When You Don't Know: Engineering AI Systems in an Uncertain World
December 15, 2020 • Video
Eric Heim
This presentation provides a view of new research about artificial intelligence (AI) system engineering and uncertainty.
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Knowing When You Don't Know: Engineering AI Systems in an Uncertain World
November 03, 2020 • Presentation
Eric Heim
This presentation provides a view of new research about artificial intelligence (AI) system engineering and uncertainty.
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Poster - A Series of Unlikely Events
November 03, 2020 • Poster
Eric Heim
The poster summarizes learning from sequential behavior for activity-based intelligence and modeling human expertise.
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A Series of Unlikely Events: Learning Patterns by Observing Sequential Behavior (video)
November 12, 2019 • Video
Eric Heim
A Series of Unlikely Events: Learning Patterns by Observing Sequential Behavior
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A Series of Unlikely Events: Learning Patterns by Observing Sequential Behavior (video)
November 11, 2019 • Video
Eric Heim
Watch SEI principal investigator Dr.Eric Heim discuss research to develop novel Inverse Reinforcement Learning (IRL) techniques as efficient and effective means for DoD/IC to perform activity-based intelligence or to teach novices how to perform tasks lik
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A Series of Unlikely Events: Learning from Sequential Behavior for Activity-Based Intelligence and Modeling Human Expertise
October 28, 2019 • Presentation
Eric Heim
This presentation describes work to use inverse refinforcement learning techniques to perform activity-bassed intelligence.
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A Series of Unlikely Events: Learning Patterns by Observing Sequential Behavior
October 28, 2019 • Poster
Eric Heim
This poster represents research to apply Inverse Reinforcement Learning techniques to model sequential behavior.
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Learning by Observing via Inverse Reinforcement Learning
March 22, 2019 • Video
Ritwik GuptaEric Heim
This SEI Cyber Talk episode explains how inverse reinforcement learning can be effective for teaching agents to perform complex tasks with many states and actions.
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