Offline reinforcement learning with representations for actions. - Xingzhou Lou; Qiyue Yin; Junge Zhang; Chao Yu 004; Zhaofeng He; Nengjie Cheng; Kaiqi Huang (Inf. Sci., 2022)

PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. - Xingzhou Lou; Jiaxian Guo; Junge Zhang; Jun Wang 012; Kaiqi Huang; Yali Du 001 (AAMAS, 2023)

An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination. - Xue Yan; Jiaxian Guo; Xingzhou Lou; Jun Wang 012; Haifeng Zhang 002; Yali Du 001 (NeurIPS, 2023)

TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. - Xingzhou Lou; Junge Zhang; Timothy J. Norman; Kaiqi Huang; Yali Du 001 (AAAI, 2024)

Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models. - Xingzhou Lou; Junge Zhang; Ziyan Wang; Kaiqi Huang; Yali Du 001 (AAMAS, 2024)

Position: Foundation Agents as the Paradigm Shift for Decision Making. - Xiaoqian Liu; Xingzhou Lou; Jianbin Jiao; Junge Zhang (ICML, 2024)

SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward Modeling. - Xingzhou Lou; Junge Zhang; Jian Xie; Lifeng Liu; Dong Yan; Kaiqi Huang (CoRR, 2024)

Reward-Robust RLHF in LLMs. - Yuzi Yan; Xingzhou Lou; Jialian Li; Yiping Zhang; Jian Xie; Chao Yu; Yu Wang; Dong Yan; Yuan Shen (CoRR, 2024)

Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown. - Xingzhou Lou; Dong Yan; Wei Shen; Yuzi Yan; Jian Xie; Junge Zhang (CoRR, 2024)

Leveraging Joint-Action Embedding in Multiagent Reinforcement Learning for Cooperative Games. - Xingzhou Lou; Junge Zhang; Yali Du 001; Chao Yu 004; Zhaofeng He; Kaiqi Huang (IEEE Trans. Games, 2024)

Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling. - Xingzhou Lou; Junge Zhang; Jian Xie; Lifeng Liu; Dong Yan; Kaiqi Huang (AAAI, 2025)