Publications

Reward Shaping to improve Language Model Query Generation
Shicheng Liu, Zeyu Zhang, Lei Lu, Kexuan Sun, Thuy Vu
Neural Information Processing Systems (NeurIPS 2026).

Leveraging Explanation to Improve Generalization of Meta Reinforcement Learning
Shicheng Liu, Minghui Zhu
International Conference on Learning Representations (ICLR 2026).

Explainable Reinforcement Learning from Human Feedback to Improve Alignment
Shicheng Liu, Siyuan Xu, Wenjie Qiu, Hangfan Zhang, Minghui Zhu
Neural Information Processing Systems (NeurIPS 2025).

UTILITY: Utilizing Explainable Reinforcement Learning to Improve Reinforcement Learning
Shicheng Liu, Minghui Zhu
International Conference on Learning Representations (ICLR 2025).

In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates
Shicheng Liu, Minghui Zhu
Neural Information Processing Systems (NeurIPS 2024).

Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis
Shicheng Liu, Minghui Zhu
International Conference on Learning Representations (ICLR 2024).

Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations
Shicheng Liu, Minghui Zhu
Neural Information Processing Systems (NeurIPS 2023).

Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems
Shicheng Liu, Minghui Zhu
Neural Information Processing Systems (NeurIPS 2022).

Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learning
Junhong Lin*, Shicheng Liu*, Jinyeop Song, Song Wang, Julian Shun, Yada Zhu
Neural Information Processing Systems (NeurIPS 2026).

A Constrained Bi-level Optimization Framework for Constrained Preference-Based Reinforcement Learning
Yue Mao, Siyuan Xu, Shicheng Liu, Minghui Zhu
Neural Information Processing Systems (NeurIPS 2026).

Preference-based Policy Optimization from Sparse-reward Offline Dataset
Wenjie Qiu, Guofeng Cui, Shicheng Liu, Yuanlin Duan, He Zhu
International Conference on Learning Representations (ICLR 2026).