Escaping from zero gradient: Revisiting action-constrained reinforcement learning via Frank-Wolfe policy optimization. - Jyun-Li Lin; Wei Hung; Shang-Hsuan Yang; Ping-Chun Hsieh; Xi Liu 011 (UAI, 2021)

Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots. - Wei Hung; Bo-Kai Huang; Ping-Chun Hsieh; Xi Liu 011 (ICLR, 2023)

Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs. - Wei Hung; Shao-Hua Sun; Ping-Chun Hsieh (ICLR, 2025)

Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective. - Yu-Wei Yang; Yun-Ming Chan; Wei Hung; Xi Liu 011; Ping-Chun Hsieh (CoRR, 2025)