Intelligent system design with fixed-base simulation validation for general aviation. - Jie Rong; Yuanyuan Ding; John Valasek; John H. Painter (ISIC, 2003)

Structured adaptive model inversion control with actuator saturation constraints applied to tracking spacecraft maneuvers. - Monish D. Tandale; Kamesh Subbarao; John Valasek; Maruthi R. Akella (ACC, 2004)

Adaptive dynamic inversion control of a linear scalar plant with constrained control inputs. - Monish D. Tandale; John Valasek (ACC, 2005)

A Reinforcement Learning - Adaptive Control Architecture for Morphing. - John Valasek; Monish D. Tandale; Jie Rong (J. Aerosp. Comput. Inf. Commun., 2005)

Odometry and calibration methods for multi-castor vehicles. - James Doebbler; Jeremy J. Davis; John L. Junkins; John Valasek (ICRA, 2008)

Improved Adaptive-Reinforcement Learning Control for Morphing Unmanned Air Vehicles. - John Valasek; James Doebbler; Monish D. Tandale; Andrew J. Meade (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Multiresolution state-space discretization method for Q-Learning. - Amanda Kathryn Lampton; John Valasek (ACC, 2009)

Dimensionality Effects on the Markov Property in Shape Memory Alloy Hysteretic Environment. - Kenton Conrad Kirkpatrick; John Valasek (SMC, 2009)

Multiresolution State-Space Discretization Method for Q-Learning with Function Approximation and Policy Iteration. - Amanda Kathryn Lampton; John Valasek (SMC, 2009)

Reinforcement Learning for Characterizing Hysteresis Behavior of Shape Memory Alloys. - Kenton Conrad Kirkpatrick; John Valasek (J. Aerosp. Comput. Inf. Commun., 2009)

Reinforcement Learning of Morphing Airfoils with Aerodynamic and Structural Effects. - Amanda Kathryn Lampton; Adam Niksch; John Valasek (J. Aerosp. Comput. Inf. Commun., 2009)

Multi-resolution state-space discretization for Q-Learning with pseudo-randomized discretization. - Amanda Kathryn Lampton; John Valasek; Mrinal Kumar 002 (IJCNN, 2010)

Reinforcement Learning of a Morphing Airfoil-Policy and Discrete Learning Analysis. - Amanda Kathryn Lampton; Adam Niksch; John Valasek (J. Aerosp. Comput. Inf. Commun., 2010)

Tracking control design for non-standard nonlinear singularly perturbed systems. - Anshu Siddarth; John Valasek (ACC, 2012)

Unmanned Air System Search and Localization Guidance Using Reinforcement Learning. - Caroline Dunn; John Valasek; Kenton Conrad Kirkpatrick (Infotech@Aerospace, 2012)

Intelligent Motion Video Guidance for Unmanned Air System Ground Target Surveillance. - John Valasek; Kenton Conrad Kirkpatrick; James May (Infotech@Aerospace, 2012)

Adaptive Dynamic Inversion Control of Linear Plants With Control Position Constraints. - John Valasek; Maruthi R. Akella; Anshu Siddarth; Elizabeth Rollins (IEEE Trans. Control. Syst. Technol., 2012)

A constructive stabilization approach for open-loop unstable non-affine systems. - Anshu Narang-Siddarth; John Valasek (ACC, 2013)

Necessary Conditions for Feedback Passivation of Nonaffine-in-Control Systems. - Anshu Narang-Siddarth; John Valasek (SIAM Conf. on Control and its Applications, 2013)

Characterization and Control of Hysteretic Dynamics Using Online Reinforcement Learning. - Kenton Conrad Kirkpatrick; John Valasek; Chris Haag (J. Aerosp. Inf. Syst., 2013)

Nonlinear Time Scale Systems in Standard and Nonstandard Forms - Analysis and Control. - Anshu Narang-Siddarth; John Valasek (SIAM, 2014)

Intelligent Motion Video Guidance for Unmanned Air System Ground Target Surveillance. - John Valasek; Kenton Conrad Kirkpatrick; James May; Joshua Harris (J. Aerosp. Inf. Syst., 2016)

Two-Time-Scale Control of a Low-Order Nonlinear, Nonstandard System with Uncertain Dynamics. - Dipanjan Saha; John Valasek; Mohammad M. Reza (ACC, 2018)

Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. - Vinicius G. Goecks; Gregory M. Gremillion; Vernon J. Lawhern; John Valasek; Nicholas R. Waytowich (AAAI, 2019)

Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments. - Vinicius G. Goecks; Gregory M. Gremillion; Vernon J. Lawhern; John Valasek; Nicholas R. Waytowich (CoRR, 2019)

PODNet: A Neural Network for Discovery of Plannable Options. - Ritwik Bera; Vinicius G. Goecks; Gregory M. Gremillion; John Valasek; Nicholas R. Waytowich (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1), 2020)

Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments. - Vinicius G. Goecks; Gregory M. Gremillion; Vernon J. Lawhern; John Valasek; Nicholas R. Waytowich (AAMAS, 2020)

Combining Visible and Infrared Spectrum Imagery using Machine Learning for Small Unmanned Aerial System Detection. - Vinicius G. Goecks; Grayson Woods; Niladri Das; John Valasek (CoRR, 2020)

Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations. - Ritwik Bera; Vinicius G. Goecks; Gregory M. Gremillion; Vernon J. Lawhern; John Valasek; Nicholas R. Waytowich (CoRR, 2021)

Output feedback control using state observers of a class of nonlinear nonstandard two-time-scale systems. - Dipanjan Saha; John Valasek; Douglas Famularo (Int. J. Control, 2021)

Adaptive Control for Non-Minimum Phase Systems Via Time Scale Separation. - Kameron Eves; John Valasek (ACC, 2023)

Control Acquisition Attack of Aerospace Systems via False Data Injection. - Garrett Jares; John Valasek (J. Aerosp. Inf. Syst., 2023)

Vision-Based Marker-Less Landing of an Unmanned Aerial System on Moving Ground Vehicle. - Blake Krpec; John Valasek; Stephen Nogar (J. Aerosp. Inf. Syst., 2024)

Design, Selection, and Evaluation of Reinforcement Learning Single Agents for Ground Target Tracking. - Hannah Lehman; John Valasek (J. Aerosp. Inf. Syst., 2024)