Kyle Dunlap

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Control Policies

Reinforcement Learning

Constraint Satisfaction

Top Venues

IEEE Control. Syst. Lett.

Publications

Kyle Dunlap, Kochise Bennett, David van Wijk, Nathaniel Hamilton, Kerianne Hobbs
Run Time Assured Reinforcement Learning for Six Degree-of-Freedom Spacecraft Inspection. CoRR (2024)
Nathaniel Hamilton, Kyle Dunlap, Kerianne L. Hobbs
Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls. CoRR (2024)
Cassie-Kay McQuinn, Kyle Dunlap, Nathaniel Hamilton, Jabari Wilson, Kerianne L. Hobbs
Run Time Assurance for Simultaneous Constraint Satisfaction During Spacecraft Attitude Maneuvering. CoRR (2024)
Kyle Dunlap, Nathaniel Hamilton, Zachary Lippay, Matt Shubert, Sean Phillips, Kerianne L. Hobbs
Demonstrating Reinforcement Learning and Run Time Assurance for Spacecraft Inspection Using Unmanned Aerial Vehicles. CoRR (2024)
Tamás G. Molnár, Suresh K. Kannan, James Cunningham, Kyle Dunlap, Kerianne L. Hobbs, Aaron D. Ames
Collision Avoidance and Geofencing for Fixed-wing Aircraft with Control Barrier Functions. CoRR (2024)
Kyle Dunlap, Nathaniel Hamilton, Francisco Viramontes, Derrek Landauer, Evan Kain, Kerianne L. Hobbs
Space Processor Computation Time Analysis for Reinforcement Learning and Run Time Assurance Control Policies. CoRR (2024)
Kyle Dunlap, Mark Mote, Kaiden Delsing, Kerianne L. Hobbs
Run Time Assured Reinforcement Learning for Safe Satellite Docking. J. Aerosp. Inf. Syst. 20 (1) (2023)
Umberto J. Ravaioli, Kyle Dunlap, Kerianne Hobbs
A Universal Framework for Generalized Run Time Assurance with JAX Automatic Differentiation. ACC (2023)
David van Wijk, Kyle Dunlap, Manoranjan Majji, Kerianne L. Hobbs
Deep Reinforcement Learning for Autonomous Spacecraft Inspection using Illumination. CoRR (2023)
Kyle Dunlap, David van Wijk, Kerianne L. Hobbs
Run Time Assurance for Autonomous Spacecraft Inspection. CoRR (2023)
Umberto Ravaioli, Kyle Dunlap, Kerianne Hobbs
A Universal Framework for Generalized Run Time Assurance with JAX Automatic Differentiation. CoRR (2022)
Kyle Dunlap, Kelly Cohen
Hybrid Fuzzy-LQR Control for Time Optimal Spacecraft Docking. NAFIPS (2022)
Kerianne L. Hobbs, Benjamin K. Heiner, Lillian Busse, Kyle Dunlap, Jonathan C. Rowanhill, Ashlie B. Hocking, Aditya Zutshi
Systems Theoretic Process Analysis of a Run Time Assured Neural Network Control System. CoRR (2022)
Nathaniel Hamilton, Kyle Dunlap, Taylor T. Johnson, Kerianne L. Hobbs
Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents. CoRR (2022)
Kyle Dunlap, Michael Hibbard, Mark Mote, Kerianne Hobbs
Comparing Run Time Assurance Approaches for Safe Spacecraft Docking. IEEE Control. Syst. Lett. 6 (2022)
Kyle Dunlap, Michael Hibbard, Mark Mote, Kerianne Hobbs
Comparing Run Time Assurance Approaches for Safe Spacecraft Docking. CoRR (2021)
Kyle Dunlap, Kelly Cohen, Kerianne Hobbs
Comparing the Explainability and Performance of Reinforcement Learning and Genetic Fuzzy Systems for Safe Satellite Docking. NAFIPS (2021)