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I am a Ph.D. candidate in the
Autonomous Learning Laboratory working
with Sridhar Mahadevan.
While at UMass, I've been a research assistant on two projects. The first one was the
Wayang Outpost project where we developed
an intelligent tutoring system for SAT-style geometry problems. My role on that project
was to dynamically track the behavior of a student who was interacting with the tutoring system.
The second project
addresses the challenge of automatically constructing basis functions
(proto-value functions) that are useful
for solving Markov decision processes and reinforcement learning problems.
Education
M.S. Computer Science,
University of Masschusetts Amherst, 2006
B.S. with Distinction Chemical Engineering,
University of Virginia, 1998
Publications
Jeff Johns, Sarah Osentoski, and Sridhar Mahadevan.
Representation Discovery in Planning using Harmonic Analysis.
Proceedings of the AAAI Fall Symposium on
Computational Approaches to Representation Change During Learning and Development,
Washington, D.C., 2007.
[.pdf]
[.ppt]
Jeff Johns, Sridhar Mahadevan, and Chang Wang.
Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization.
Proceedings of the Twenty-second National Conference on Artificial Intelligence (AAAI-07),
Vancouver, British Columbia, 2007.
[.pdf]
[.ppt]
Jeff Johns and Sridhar Mahadevan.
Constructing Basis Functions from Directed Graphs for Value Function Approximation.
Proceedings of the Twenty-fourth International Conference on Machine Learning (ICML-07),
Corvallis, OR, 2007.
[.pdf]
[.ppt]
Sridhar Mahadevan, Sarah Osentoski, Jeff Johns, Kimberly Ferguson, and Chang Wang.
Learning to Plan using Harmonic Analysis of Diffusion Models.
Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS-07),
Providence, RI, 2007.
[.pdf]
Ivon Arroyo, Kimberly Ferguson, Jeff Johns, Toby Dragon, Hasmik Mehranian, Donald Fisher, Andrew Barto,
Sridhar Mahadevan, and Beverly Woolf.
Repairing Disengagement with Non-Invasive Interventions.
Proceedings of the Thirteenth International Conference of Artificial Intelligence in Education (AIED-07),
Marina Del Rey, CA, 2007.
[.pdf]
Jeff Johns and Beverly Woolf.
A Dynamic Mixture Model to Detect Student Motivation and Proficiency.
Proceedings of the Twenty-first National Conference on Artificial Intelligence (AAAI-06),
Boston, MA, 2006.
[.pdf]
[.ppt]
Jeff Johns, Sridhar Mahadevan, and Beverly Woolf.
Estimating Student Proficiency Using an Item Response Theory Model.
Proceedings of the Eighth International Conference on Intelligent Tutoring Systems (ITS-06),
Jhongli, Taiwan, 2006.
[.pdf]
In the Lecture Notes in Computer Science
Jeff Johns and Sridhar Mahadevan.
A Variational Learning Algorithm for the Abstract Hidden Markov Model.
Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05),
Pittsburgh, PA, 2005.
[.pdf]
Anders Jonsson, Jeff Johns, Hasmik Mehranian, Ivon Arroyo, Beverly Woolf, Andrew Barto, Donald Fisher, and
Sridhar Mahadevan.
Evaluating the Feasibility of Learning Student Models from Data.
AAAI Workshop on Educational Data Mining, Pittsburgh, PA, 2005.
[.pdf]
Professional Service
Program committee.
23rd Conference on Artificial Intelligence (AAAI),
July 2008.
Program committee.
23rd Conference on Uncertainty in Artificial Intelligence (UAI),
July 2007.
Program committee.
22nd Conference on Artificial Intelligence (AAAI),
July 2007.
Reviewer.
8th International Conference on Intelligent Tutoring Systems (ITS),
June 2006.
Institutional Service
Organizer,
Machine Learning and Friends lunch, 2004-2005 academic year.
Other
2nd place in the 2008
Reinforcement Learning Competition
for Tetris. Here are the
results.
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