Publications

Shenzhi Wang, Xiaochen Zhao, Jiawei Gao, Matthieu Gaetan Lin, Hao Chen, Liwei Wu, Ning Jia, Shiji Song, Gao Huang (2023). Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning. In NeurIPS.

Xiaochen Zhao, Huanqian Wang, Mukun Tong, Wenjie Shi, Gao Huang, Shiji Song (2023). Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning. In IEEE TSMC.

Xiaochen Zhao, Shenzhi Wang, Qihang Zhang, Gao Huang, Shiji Song (2023). Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance. In IEEE TNNLS.

Xiaochen Zhao, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang (2023). Boosting Offline Reinforcement Learning with Action Preference Query. In ICML.

Chaofei Wang, Xiaochen Zhao, Rui Huang, Shiji Song, Gao Huang (2022). Efficient Knowledge Distillation from Model Checkpoints. In NeurIPS.