Larry Pyeatt's Publication List

larry.pyeatt@ttu.edu

PhD Dissertation

Larry Pyeatt, "Integration of Partially Observable Markov Decision Processes and Reinforcement Learning for Simulated Robot Navigation" Computer Science Department, Colorado State University, July 1999.

Journal Articles

Larry D. Pyeatt and Adele E. Howe, "Evaluating Robustness in a Two Layer Simulated Robot Architecture", Journal of Experimental and Theoretical Artificial Intelligence, 2000.

Conference Proceedings

Tae-hyung Kim, Larry D. Pyeatt, Donald C. Wunsch II, "Performance Comparison of Z-Learning to Q-learning for Reconfigurable Disruption Tolerant Routing," Eleventh International Conference on Cognitive and Neural Systems, Boston University, 2007.
Helm, M., Cooke, D., Rushton, N., Pyeatt, L., Becker, K. "Reinforcement Learning Agents Applied to a Class of Control Systems Problems," IEEE Region 5 Technology and Science Conference San Antonio, Texas April, 2006
Chengcheng Li and Larry D. Pyeatt. "A short tutorial on reinforcement learning:review and applications." In Proceedings of the International Conference on Intelligent Information Process, 509-513, Beijing, China, October 2004.
Chengcheng Li and Larry D. Pyeatt. "Automatic U.S. vehicle license plate extraction and license number splitting under various illumination conditions." In Proceedings of the International Conference on Computing, Communications and Control Technologies, volume II, pages 143-148, 2004.
Chengcheng Li and Larry D. Pyeatt. "Preprocesses of U.S. vehicle license plate recognition. In Proceedings of The 6th IASTED International Conference on Signal and Image Processing," pages 89-94, Honolulu, Hawaii, August 2004. International Association of Science and Technology for Development (IASTED).
Chengcheng Li and Larry D. Pyeatt. "U.S. vehicle license plate localization." In Proceedings of the International Conference on Computing, Communications and Control Technologies, volume VII, pages 314-319, Austin, Texas, August 2004. University of Texas at Austin and the International Institute of Informatics and Systemics (IIIS).
Todd M. Quasny and Larry D. Pyeatt. "Reinforcement Learning for Control of a Simulated Life Support System." In Proceedings of the International Conference on Environmental Systems (ICES), Colorado Springs, CO, 2004.
Laura Barnes, Todd Quasny, Richard Garcia, and Larry D. Pyeatt. "Multi-agent Mapping Using Dynamic Allocation Utilizing a Centralizerd Storage System." In proceedings of the 12th Annual Mediterranean Conference on Control and Automation, Kusadasi, Aydin, Turkey, June 6-9, 2004.
Brett L. Moore, Eric D. Sinzinger, Larry D. Pyeatt, and Todd M. Quasny. "Intelligent Control of Closed-Loop Sedation in Simulated ICU Patients." In proceedings of the 17th International Florida Artificial Intelligence Research Society Conference, Miami Beach, Florida, May 17-19, 2004. Winner of Best paper award.
Larry D. Pyeatt. "Reinforcement learning with decision trees." In Proceedings of the IASTED International Conference on Applied Informatics (AI 2003), Innsbruck, Austria, February 2003.
Todd M. Quasny, Larry D. Pyeatt, and Jackie Moore. "Curvature-velocity method for differentially steered robots." In Proceedings of the IASTED International Conference on Modelling, Identification, and Control (MIC 2003), Innsbruck, Austria, February 2003.
Brett L. Moore, Todd M. Quasny, Larry D. Pyeatt, and Eric D. Sinzinger. "Performance of a Single Action Partially Observable Markov Decision Process in a Recognition Task", In Proceedings of the Fourth Annual International Conference on Artificial Intelligence and Soft Computing, Cancun, Mexico, May 2001. International Association of Science and Technology for Development (IASTED).
Larry D. Pyeatt and Adele E. Howe. "Decision Tree Function Approximation in Reinforcement Learning". In Proceedings of the Third International Symposium on Adaptive Systems: Evolutionary Computation & Probabilistic Graphical Models, pages 70 77, Havana, Cuba, March 2001. Institute of Cybernetics, Mathematics and Physics.
Larry D. Pyeatt and Adele E. Howe "A Parallel Algorithm for POMDP Solution", Proceedings of the Fifth European Conference on Planning, Durham, United Kingdom, September 8-10, 1999.
Larry D. Pyeatt and Adele E. Howe "Integrating POMDP and Reinforcement Learning for a Two Layer Simulated Robot Architecture", Third International Conference on Autonomous Agents, Seattle, Washington, May 1-5, 1999.
Larry D. Pyeatt and Adele E. Howe "Learning to Race: Experiments with a Simulated Race Car", 11th International Florida Artificial Intelligence Research Society Conference, Sanibel Island, Florida, May 17-20, 1998.
Larry D. Pyeatt and Adele E. Howe "Reinforcement Learning for Coordinated Reactive Control", Fourth World Congress on Expert Systems, Mexico City, Mexico March 16-20, 1998.
Adele E. Howe and Larry D. Pyeatt "Constructing Transition Models of AI Planner Behavior", KBSE-96.
Frederic Gruau, Darrell Whitley, and Larry Pyeatt "A Comparison between Cellular Encoding and Direct Encoding for Genetic Neural Networks." GP-96, Stanford, July 27-30, 1996.
Darrell Whitley, Frederic Gruau, and Larry Pyeatt "Cellular Encoding Applied to Neurocontrol" Sixth International Conference on Genetic Algorithms, Pittsburgh, July 15-19, 1995.
Darrell Whitley, Keith Mathias and Larry Pyeatt "Hyperplane Ranking and Implicit Parallelism in Simple Genetic Algorithms." Sixth International Conference on Genetic Algorithms, Pittsburgh, July 15-19, 1995.
Larry D. Pyeatt and William J.B. Oldham "Application of the Neural Ring Pattern Classifier to Speech Recognition," Proceedings of the Southeastern Region ACM Conference, Auburn, Alabama, 1991, pp 385-387.

Workshop and Symposia Papers

Larry D. Pyeatt and Adele E. Howe "Testing Generalization in Learned Simulated Robot Behaviors", Workshop an Autonomy Control Software at the Third International Conference on Autonomous Agents, Seattle, WA, May 1999.
Larry D. Pyeatt and Adele E. Howe. Integrating POMDP and Reinforcement Learning for a Two Layer Simulated Robot Architecture. In Michael Littman and Tony Cassandra, editors, AAAI 1998 Fall Symposium Series - Planning with Partially Observable Markov Decision Processes: Working Notes, pages 371-388. Orlando Florida. October 1998.

Technical Reports

Larry D. Pyeatt and Adele E. Howe, "Decision Tree Function Approximation in Reinforcement Learning", Technical Report TR CS-98-112, Colorado State University, Department of Computer Science, Fort Collins, Colorado, 1995.
Mark R. Stevens, Larry D. Pyeatt, David J. Houlton and Michael E. Goss, "Locating Shadows in Aerial Photographs Using Imprecise Elevation Data" Technical Report TR CS-95-105, Colorado State University, Department of Computer Science, Fort Collins, Colorado, 1995.

Patent

Marilyn V. Reyes and Larry D. Pyeatt, "Interpretation of Fluorescence Fingerprints of Crude Oils and Other Hydrocarbon Mixtures Using Neural Networks," United States Patent 5424959, property of Texaco Inc.

Slides

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