 | 2010 |
|---|
| 10 |       | Jeffrey Johns,
Christopher Painter-Wakefield,
Ronald Parr:
Linear Complementarity for Regularized Policy Evaluation and Improvement.
NIPS 2010: 1009-1017 |
| 2009 |
|---|
| 9 | | Jeffrey Johns,
Marek Petrik,
Sridhar Mahadevan:
Hybrid Least-Squares Algorithms for Approximate Policy Evaluation.
ECML/PKDD (1) 2009: 9 |
| 8 | | Jeffrey Johns,
Marek Petrik,
Sridhar Mahadevan:
Hybrid least-squares algorithms for approximate policy evaluation.
Machine Learning 76(2-3): 243-256 (2009) |
| 2007 |
|---|
| 7 |  | Jeffrey Johns,
Sridhar Mahadevan,
Chang Wang:
Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization.
AAAI 2007: 559-564 |
| 6 | | Ivon Arroyo,
Kimberly Ferguson,
Jeffrey Johns,
Toby Dragon,
Hasmik Meheranian,
Don Fisher,
Andrew G. Barto,
Sridhar Mahadevan,
Beverly Park Woolf:
Repairing Disengagement With Non-Invasive Interventions.
AIED 2007: 195-202 |
| 5 | | Sridhar Mahadevan,
Sarah Osentoski,
Jeffrey Johns,
Kimberly Ferguson,
Chang Wang:
Learning to Plan Using Harmonic Analysis of Diffusion Models.
ICAPS 2007: 224-231 |
| 4 | | Jeffrey Johns,
Sridhar Mahadevan:
Constructing basis functions from directed graphs for value function approximation.
ICML 2007: 385-392 |
| 2006 |
|---|
| 3 | | Jeffrey Johns,
Beverly Park Woolf:
A Dynamic Mixture Model to Detect Student Motivation and Proficiency.
AAAI 2006: 163-168 |
| 2 | | Jeffrey Johns,
Sridhar Mahadevan,
Beverly Park Woolf:
Estimating Student Proficiency Using an Item Response Theory Model.
Intelligent Tutoring Systems 2006: 473-480 |
| 2005 |
|---|
| 1 | | Jeffrey Johns,
Sridhar Mahadevan:
A Variational Learning Algorithm for the Abstract Hidden Markov Model.
AAAI 2005: 9-14 |
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