Tag: Mark Reidl

Divya Srivastava Presents at 5th International Conference on Human Computer Interaction Theory and Applications (HUCAPP 2021)

FEB 10, 2021 — 3rd-year CEC graduate student, Divya Srivastava, presents her work, “Effect of Interaction Design of Reinforcement Learning Agents on Human Satisfaction in Partially Observable Domains” virtually at the 5th International Conference on Human Computer Interaction Theory and Applications (HUCAPP 2021). The work is coauthored by Spencer Frazier (GT’s Human-Centered AI Lab), Dr. […]

ONR – Interactive Machine Learning

We are interested in machines that can learn new things from people who are not Machine Learning (ML) experts. We propose a research agenda framed around the human factors (HF) and ML research questions of teaching an agent via demonstration and critique. Ultimately, we will develop a training simulation game with several nonplayer characters, all […]