Publications
Preprints
Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation
Under review at SIAM Journal on Optimization · 2026
Paper: Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation · Code: Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation
Journal publications
You Can't Always Get What You Want: Games of Ordered Preference
IEEE Robotics and Automation Letters · 2025
Volume 10, issue 7, pages 7182–7189.
Paper: You Can't Always Get What You Want: Games of Ordered Preference · Code: You Can't Always Get What You Want: Games of Ordered Preference
A Convex Formulation of Game-Theoretic Hierarchical Routing
IEEE Control Systems Letters · 2025
Volume 9, pages 318–323.
Paper: A Convex Formulation of Game-Theoretic Hierarchical Routing
Multi-Start Team Orienteering Problem for UAS Mission Re-Planning with Data-Efficient Deep Reinforcement Learning
Applied Intelligence · 2024
Volume 54, issue 6, pages 4467–4489.
Paper: Multi-Start Team Orienteering Problem for UAS Mission Re-Planning with Data-Efficient Deep Reinforcement Learning · Code: Multi-Start Team Orienteering Problem for UAS Mission Re-Planning with Data-Efficient Deep Reinforcement Learning
Deep Residual Neural Network for Predicting Aerodynamic Coefficient Changes with Ablation
Aerospace Science and Technology · 2023
Volume 136, article 108207.
Paper: Deep Residual Neural Network for Predicting Aerodynamic Coefficient Changes with Ablation
Conference publications
Efficiently Solving Mixed-Hierarchy Games with Quasi-Policy Approximations
Workshop on the Algorithmic Foundations of Robotics (WAFR) · 2026
Paper: Efficiently Solving Mixed-Hierarchy Games with Quasi-Policy Approximations · Code: Efficiently Solving Mixed-Hierarchy Games with Quasi-Policy Approximations
Approximate Solutions to Games of Ordered Preference
IEEE International Conference on Intelligent Transportation Systems (ITSC) · 2025
Smooth Information Gathering in Two-Player Noncooperative Games
International Conference on Autonomous Agents and Multiagent Systems (AAMAS) · 2025
Pages 1595–1603.
Paper: Smooth Information Gathering in Two-Player Noncooperative Games
A Deep Reinforcement Learning Approach to Solve the Vehicle Routing Problem with Resource Constraints
AIAA SciTech Forum · 2023
Prediction of Multiple Aerodynamic Coefficients of Missiles Using CNN
AIAA SciTech Forum · 2022
Paper: Prediction of Multiple Aerodynamic Coefficients of Missiles Using CNN
Earlier publications in Korea
- Dong Ho Lee, Hwanchol Jang, Sang-Hwan Kim, and Woohyuk Chang. “Multi-UAV Mission Allocation and Optimization Technique Based on Discrete-Event Modeling and Simulation.” Journal of the Korean Society for Aeronautical & Space Sciences, 48(2), 159–166 (2020).
- Dong Ho Lee, Woohyuk Chang, and Jinku Buyn. “An Optimization Technique for Discrete Event Model-based UAV Real-Time Heterogeneous Mission Allocation.” Korean Society for Aeronautical and Space Sciences, Fall Conference, Jeju, Korea (2018).
- Dong Ho Lee, Woohyuk Chang, and Jinku Buyn. “Discrete-event Modeling and Simulation of Autonomous Multi-UAV Mission Management.” Avionics Systems Symposium Korea, Yeosu, Korea (2018).
Patent
Woohyuk Chang, Dong Ho Lee, and Hwanchol Jang. “Method and apparatus for optimization of unmanned vehicle mission allocation.” KR102063851, registered January 2020.