Xingzhou Lou - RankMe

16 papers A* 4A 2Journal 10

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling. AAAI Xingzhou Lou, Junge Zhang, Jian Xie, Lifeng Liu, Dong Yan, Kaiqi Huang
2025	J	`jnl`	Unveiling Chain of Step Reasoning for Vision-Language Models with Fine-grained Rewards. CoRR Honghao Chen, Xingzhou Lou, Xiaokun Feng, Kaiqi Huang, Xinlong Wang
2024	J	`jnl`	Leveraging Joint-Action Embedding in Multiagent Reinforcement Learning for Cooperative Games. IEEE Trans. Games Xingzhou Lou, Junge Zhang, Yali Du, Chao Yu, Zhaofeng He, Kaiqi Huang
2024	A*	`conf`	Position: Foundation Agents as the Paradigm Shift for Decision Making. ICML Xiaoqian Liu, Xingzhou Lou, Jianbin Jiao, Junge Zhang
2024	J	`jnl`	Position: Foundation Agents as the Paradigm Shift for Decision Making. CoRR Xiaoqian Liu, Xingzhou Lou, Jianbin Jiao, Junge Zhang
2024	J	`jnl`	Reward-Robust RLHF in LLMs. CoRR Yuzi Yan, Xingzhou Lou, Jialian Li, Yiping Zhang, Jian Xie, Chao Yu, Yu Wang, Dong Yan, Yuan Shen
2024	J	`jnl`	SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward Modeling. CoRR Xingzhou Lou, Junge Zhang, Jian Xie, Lifeng Liu, Dong Yan, Kaiqi Huang
2024	A	`conf`	Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models. AAMAS Xingzhou Lou, Junge Zhang, Ziyan Wang, Kaiqi Huang, Yali Du
2024	J	`jnl`	Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models. CoRR Xingzhou Lou, Junge Zhang, Ziyan Wang, Kaiqi Huang, Yali Du
2024	A*	`conf`	TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. AAAI Xingzhou Lou, Junge Zhang, Timothy J. Norman, Kaiqi Huang, Yali Du
2024	J	`jnl`	Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown. CoRR Xingzhou Lou, Dong Yan, Wei Shen, Yuzi Yan, Jian Xie, Junge Zhang
2023	A*	`conf`	An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination. NeurIPS Xue Yan, Jiaxian Guo, Xingzhou Lou, Jun Wang, Haifeng Zhang, Yali Du
2023	A	`conf`	PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. AAMAS Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du
2023	J	`jnl`	PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. CoRR Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du
2023	J	`jnl`	TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. CoRR Xingzhou Lou, Junge Zhang, Timothy J. Norman, Kaiqi Huang, Yali Du
2022	J	`jnl`	Offline reinforcement learning with representations for actions. Inf. Sci. Xingzhou Lou, Qiyue Yin, Junge Zhang, Chao Yu, Zhaofeng He, Nengjie Cheng, Kaiqi Huang