Liu, Shicheng

10 publications

ICLR 2026 Leveraging Explanation to Improve Generalization of Meta Reinforcement Learning Shicheng Liu, Minghui Zhu

ICLR 2026 Preference-Based Policy Optimization from Sparse-Reward Offline Dataset Wenjie Qiu, Guofeng Cui, Shicheng Liu, Yuanlin Duan, He Zhu

ICLR 2026 SCRIBES: Web-Scale Script-Based Semi-Structured Data Extraction with Reinforcement Learning Shicheng Liu, Kai Sun, Lisheng Fu, Xilun Chen, Xinyuan Zhang, Zhaojiang Lin, Rulin Shao, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong

TMLR 2025 A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges Guiliang Liu, Sheng Xu, Shicheng Liu, Ashish Gaurav, Sriram Ganapathi Subramanian, Pascal Poupart

NeurIPS 2025 Explainable Reinforcement Learning from Human Feedback to Improve Alignment Shicheng Liu, Siyuan Xu, Wenjie Qiu, Hangfan Zhang, Minghui Zhu

ICLR 2025 UTILITY: Utilizing Explainable Reinforcement Learning to Improve Reinforcement Learning Shicheng Liu, Minghui Zhu

NeurIPS 2024 In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates Shicheng Liu, Minghui Zhu

ICLR 2024 Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis Shicheng Liu, Minghui Zhu

NeurIPS 2023 Learning Multi-Agent Behaviors from Distributed and Streaming Demonstrations Shicheng Liu, Minghui Zhu

NeurIPS 2022 Distributed Inverse Constrained Reinforcement Learning for Multi-Agent Systems Shicheng Liu, Minghui Zhu