• 2007 • 2006 • 2005 • 2004 • 2003 • 2001 • 1999 • 1997 • 1993 •
Jefferson Provost, Benjamin J. Kuipers, and Risto
Miikkulainen. Self-Organizing Distinctive State Abstraction Using Options. In Proceedings of the 7th International
Conference on Epigenetic Robotics, 2007.
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Jefferson Provost. Automatic Development from Pixel-Level Representation to Action-Level Representation
in Robot Navigation. In AAAI Fall Symposium on Computational Approaches to Representation Change during Learning and
Development, November 2007.
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Jefferson Provost and Marc Sommer. A topographic model of shifting
visual receptive fields. In Society for Neuroscience Abstracts, November 2007.
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Jefferson Provost. Reinforcement Learning in High-Diameter, Continuous Environments. Ph.D. Thesis,
The University of Texas at Austin, Austin, Texas, 2007.
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Benjamin Kuipers, Patrick Beeson,
Joseph Modayil, and Jefferson Provost. Bootstrap learning
of foundational representations. Connection Science, 18(2), 2006.
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Jefferson Provost, Benjamin J. Kuipers, and Risto
Miikkulainen. Developing navigation behavior through self-organizing distinctive state abstraction. Connection
Science, 18(2), 2006.
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James A. Bednar, Yoonsuck
Choe, Judah De Paula, Risto Miikkulainen, and Jefferson Provost.
Modeling the Visual Cortex Using the Topographica Cortical Map Simulator. In Society for Neuroscience Abstracts,
2005.
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James A. Bednar, Yoonsuck
Choe, Judah De Paula, Risto
Miikkulainen, and Jefferson Provost. The Topographica Cortical Map Simulator. Perception,
2005. Poster and abstract presented at the European Conference on Visual Perception (A Coruna,
Spain)
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Benjamin Kuipers, Patrick Beeson,
Joseph Modayil, and Jefferson Provost. Bootstrap learning
of foundational representations. In Proceedings of the AAAI Spring Symposium on Developmental Robotics, Stanford,
CA, 2005.
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Jefferson Provost, Benjamin J. Kuipers, and Risto
Miikkulainen. Self-Organizing Distinctive State Abstraction for Learning Robot Navigation. Technical Report AI-TR-05-319,
The University of Texas at Austin, Department of Computer Sciences, 2005.
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James A. Bednar, Yoonsuck
Choe, Judah De Paula, Risto
Miikkulainen, Jefferson Provost, and Tal Tversky.
Modeling Cortical Maps with Topographica. Neurocomputing, 58-60:1129–1135, 2004.
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Jefferson Provost, Benjamin J Kuipers, and Risto
Miikkulainen. Self-Organizing Perceptual and Temporal Abstraction for Robot Reinforcement Learning. In AAAI-04
Workshop on Learning and Planning in Markov Processes, 2004.
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James A. Bednar, Yoonsuck
Choe, Judah De Paula, Risto
Miikkulainen, Jefferson Provost, and Tal Tversky.
Modeling Cortical Maps with Topographica. In Presented at the 2003 Computational Neuroscience Meeting, pp. 1129–1135,
2003.
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Patrick Beeson, Matt MacMahon, Joseph
Modayil, Jefferson Provost, Francesco Savelli, and
Benjamin Kuipers. Exploiting local perceptual models for topological map-building.
In IJCAI-2003 Workshop on Reasoning with Uncertainty in Robotics (RUR-03), pp. 15–22, Acapulco, Mexico, August
2003.
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Benjamin J. Kuipers, Patrick Beeson,
Joseph Modayil, and Jefferson Provost. Learning from
Uninterpreted Experience in the SSH. AAAI Spring Symposium on Learning Grounded Representations, 2001.
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Jefferson Provost, Patrick Beeson, and Benjamin
J. Kuipers. Toward Learning the Causal Layer of the Spatial Semantic Hierarchy Using
SOMs. AAAI Spring Symposium Workshop on Learning Grounded Representations, 2001.
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Jefferson Provost. Naive-Bayes vs. Rule-Learning in Classification of Email. Technical Report AI-TR-99-284,
The University of Texas at Austin, Department of Computer Sciences, 1999.
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Brian MacWhinney, Jonathan
D. Cohen, and Jefferson Provost. The PsyScope experiment-building system. Spatial Vision,
11(1):99–101, 1997.
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Jonathan D. Cohen, Brian
MacWhinney, Matthew Flatt, and Jefferson Provost. PsyScope:
An interactive graphic system for designing and controlling experiments in the psychology laboratory using Macintosh computers.
Behavioral Research Methods, Instruments and Computers, 25(2):257–271, 1993.
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