Wei Hung

According to our database, Wei Hung authored at least 6 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning.

Ying-Tu Chen, Wei Hung, Bing-Shu Wu, Zhang-Wei Hong, Ping-Chun Hsieh

CoRR, April, 2026

2025

Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective.

Yu-Wei Yang, Yun-Ming Chan, Wei Hung, Xi Liu, Ping-Chun Hsieh

CoRR, February, 2025

Action-Constrained Imitation Learning.

Chia-Han Yeh, Tse-Sheng Nan, Risto Vuorio, Wei Hung, Hung-Yen Wu, Shao-Hua Sun, Ping-Chun Hsieh

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs.

Wei Hung, Shao-Hua Sun, Ping-Chun Hsieh

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

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

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021