Dual Policy-Based TD-Learning for Model Predictive Control. - Chang-Hun Ji; Ho-bin Choi; Joo-Seong Heo; Ju-Bong Kim; Hyun-Kyo Lim; Youn-Hee Han (ICAIIC, 2023)

Graph-Powered Reinforcement Learning for Intelligent Task Offloading in Vehicular Networks. - Ihsan Ullah 004; Hyun-Kyo Lim; Yeong-Jun Seok; Naeem Ul Islam; Chang-Hun Ji; Youn-Hee Han (ICAIIC, 2024)

Real-Time Parameter Control for Trajectory Generation Using Reinforcement Learning With Zero-Shot Sim-to-Real Transfer. - Chang-Hun Ji; Gyeonghun Lim; Youn-Hee Han; Sungtae Moon (IEEE Access, 2024)

Accelerating Convergence in Distributed Reinforcement Learning via Asynchronous PPO. - Asel Nurlanbek Kyzy; Chang-Hun Ji; Yohan Choi; Yeong-Jun Seok; Ihsan Ullah 004; Youn-Hee Han (ICAIIC, 2025)

Decision Transformer-Based Drone Trajectory Planning with Dynamic Safety-Efficiency Trade-Offs. - Chang-Hun Ji; SiWoon Song; Youn-Hee Han; Sungtae Moon (CoRR, 2025)

Curiosity-driven dual-policy action selection in temporal difference learning for model predictive control. - Chang-Hun Ji; Yohan Choi; Youn-Hee Han (Neural Comput. Appl., 2025)