Xingzhou Lou

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 11

Top Topics

Reinforcement Learning

Top Venues

Publications

Xingzhou Lou, Junge Zhang, Yali Du, Chao Yu, Zhaofeng He, Kaiqi Huang
Leveraging Joint-Action Embedding in Multiagent Reinforcement Learning for Cooperative Games. IEEE Trans. Games 16 (2) (2024)
Xingzhou Lou, Junge Zhang, Timothy J. Norman, Kaiqi Huang, Yali Du
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. AAAI (2024)
Xiaoqian Liu, Xingzhou Lou, Jianbin Jiao, Junge Zhang
Position: Foundation Agents as the Paradigm Shift for Decision Making. CoRR (2024)
Xingzhou Lou, Junge Zhang, Ziyan Wang, Kaiqi Huang, Yali Du
Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models. CoRR (2024)
Xingzhou Lou, Junge Zhang, Jian Xie, Lifeng Liu, Dong Yan, Kaiqi Huang
SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward Modeling. CoRR (2024)
Xingzhou Lou, Junge Zhang, Ziyan Wang, Kaiqi Huang, Yali Du
Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models. AAMAS (2024)
Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. CoRR (2023)
Xue Yan, Jiaxian Guo, Xingzhou Lou, Jun Wang, Haifeng Zhang, Yali Du
An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination. NeurIPS (2023)
Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. AAMAS (2023)
Xingzhou Lou, Junge Zhang, Timothy J. Norman, Kaiqi Huang, Yali Du
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. CoRR (2023)
Xingzhou Lou, Qiyue Yin, Junge Zhang, Chao Yu, Zhaofeng He, Nengjie Cheng, Kaiqi Huang
Offline reinforcement learning with representations for actions. Inf. Sci. 610 (2022)