Jeffrey Johns

According to our database, Jeffrey Johns authored at least 11 papers between 2005 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Exploring Adversarial Examples in Malware Detection.

Octavian Suciu, Scott E. Coull, Jeffrey Johns

Proceedings of the 2019 IEEE Security and Privacy Workshops, 2019

2010

Linear Complementarity for Regularized Policy Evaluation and Improvement.

Jeffrey Johns, Christopher Painter-Wakefield, Ronald Parr

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Hybrid Least-Squares Algorithms for Approximate Policy Evaluation.

Jeffrey Johns, Marek Petrik, Sridhar Mahadevan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

2007

Constructing basis functions from directed graphs for value function approximation.

Jeffrey Johns, Sridhar Mahadevan

Proceedings of the Machine Learning, 2007

Learning to Plan Using Harmonic Analysis of Diffusion Models.

Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns, Kimberly Ferguson, Chang Wang

Proceedings of the Seventeenth International Conference on Automated Planning and Scheduling, 2007

Repairing Disengagement With Non-Invasive Interventions.

Ivon Arroyo, Kimberly Ferguson, Jeffrey Johns, Toby Dragon, Hasmik Meheranian, Don Fisher, Andrew G. Barto, Sridhar Mahadevan, Beverly Park Woolf

Proceedings of the Artificial Intelligence in Education, 2007

Representation Discovery in Planning using Harmonic Analysis.

Jeffrey Johns, Sarah Osentoski, Sridhar Mahadevan

Proceedings of the Computational Approaches to Representation Change during Learning and Development, 2007

Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization.

Jeffrey Johns, Sridhar Mahadevan, Chang Wang

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Estimating Student Proficiency Using an Item Response Theory Model.

Jeffrey Johns, Sridhar Mahadevan, Beverly Park Woolf

Proceedings of the Intelligent Tutoring Systems, 8th International Conference, 2006

A Dynamic Mixture Model to Detect Student Motivation and Proficiency.

Jeffrey Johns, Beverly Park Woolf

Proceedings of the Proceedings, 2006

2005

A Variational Learning Algorithm for the Abstract Hidden Markov Model.

Jeffrey Johns, Sridhar Mahadevan

Proceedings of the Proceedings, 2005