Cellular Encoding Applied to Neurocontrol. - L. Darrell Whitley; Frédéric Gruau; Larry D. Pyeatt (ICGA, 1995)

Hyperplane Ranking in Simple Genetic Algorithms. - L. Darrell Whitley; Keith E. Mathias; Larry D. Pyeatt (ICGA, 1995)

Constructing transition models of AI planner behavior. - Adele E. Howe; Larry D. Pyeatt (KBSE, 1996)

Learning to Race: Experiments with a Simulated Race Car. - Larry D. Pyeatt; Adele E. Howe (FLAIRS, 1998)

Integrating POMDP and Reinforcement Learning for a Two Layer Simulated Robot Architecture. - Larry D. Pyeatt; Adele E. Howe (Agents, 1999)

A Parallel Algorithm for POMDP Solution. - Larry D. Pyeatt; Adele E. Howe (ECP, 1999)

Evaluating robustness in a two layer simulated robot architecture. - Larry D. Pyeatt; Adele E. Howe (J. Exp. Theor. Artif. Intell., 2000)

Reinforcement Learning with Decision Trees. - Larry D. Pyeatt (Applied Informatics, 2003)

Curvature-Velocity Method for Differentially Steered Robots. - Todd M. Quasny; Larry D. Pyeatt; Jacquelyn L. Moore (Modelling, Identification and Control, 2003)

Automatic U.S. Vehicle License Plate Extraction and License Number Splitting Under Various Illumination Conditions. - Chengcheng Li; Larry D. Pyeatt (CCCT (2), 2004)

Intelligent Control of Closed-Loop Sedation in Simulated ICU Patients. - Brett L. Moore; Eric D. Sinzinger; Todd M. Quasny; Larry D. Pyeatt (FLAIRS, 2004)

A Short Tutorial on Reinforcement Learning. - Chengcheng Li; Larry D. Pyeatt (IIP, 2004)

Reconfigurable disruption tolerant routing via Reinforcement Learning. - Tae-Hyung Kim; Larry D. Pyeatt; Donald C. Wunsch (IJCNN, 2009)

Reinforcement Learning for Closed-Loop Propofol Anesthesia: A Human Volunteer Study. - Brett L. Moore; Periklis Panousis; Vivekanand Kulkarni; Larry D. Pyeatt; Anthony G. Doufas (IAAI, 2010)

POMDP Filter: Pruning POMDP Value Functions with the Kaczmarz Iterative Method. - Eddy C. Borera; Larry D. Pyeatt; Arisoa S. Randrianasolo; Mahdi Naser-Moghadasi (MICAI (1), 2010)

An Adaptive Neural Network Filter for Improved Patient State Estimation in Closed-Loop Anesthesia Control. - Eddy C. Borera; Brett L. Moore; Anthony G. Doufas; Larry D. Pyeatt (ICTAI, 2011)

Partially Observable Markov Decision Process for Closed-Loop Anesthesia Control. - Eddy C. Borera; Brett L. Moore; Larry D. Pyeatt (ECAI, 2012)

Using Local Regression in Monte Carlo Tree Search. - Arisoa S. Randrianasolo; Larry D. Pyeatt (ICMLA (1), 2012)

An Artificial Immune System Based on Holland's Classifier as Network Intrusion Detection. - Arisoa S. Randrianasolo; Larry D. Pyeatt (ICMLA (1), 2012)

A theoretical Q-learning temporary security repair. - Arisoa S. Randrianasolo; Larry D. Pyeatt (CICS, 2014)

Q-Learning: From Computer Network Security to Software Security. - Arisoa S. Randrianasolo; Larry D. Pyeatt (ICMLA, 2014)

Reinforcement learning for closed-loop propofol anesthesia: a study in human volunteers. - Brett L. Moore; Larry D. Pyeatt; Vivekanand Kulkarni; Periklis Panousis; Kevin Padrez; Anthony G. Doufas (J. Mach. Learn. Res., 2014)

Using Density Estimation to Detect Computer Intrusions. - Kyle A. Caudle; Christer Karlsson; Larry D. Pyeatt (IWSPA@CODASPY, 2015)

Flow Field Forecasting with Many Predictors. - Kyle A. Caudle; Patrick Fleming; Larry D. Pyeatt; Randy C. Hoover (ICCDA, 2019)

Building a Better Decision Tree by Delaying the Split Decision. - Kyle A. Caudle; Larry D. Pyeatt; Anthony Morast; Christer Karlsson; Randy C. Hoover (ICCDA, 2019)

Using Genetic Algorithm to Create an Ensemble Machine Learning Models to Predict Tennis. - Arisoa S. Randrianasolo; Larry D. Pyeatt (FTC (1), 2022)