Xingzhou Lou

According to our database, Xingzhou Lou authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Calibration-Aware Policy Optimization for Reasoning LLMs.

Ziqi Wang, Xingzhou Lou, Meiqi Wu, Zhengqi Wen, Junge Zhang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Unveiling Chain of Step Reasoning for Vision-Language Models with Fine-grained Rewards.

Honghao Chen, Xingzhou Lou, Xiaokun Feng, Kaiqi Huang, Xinlong Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling.

Xingzhou Lou, Junge Zhang, Jian Xie, Lifeng Liu, Dong Yan, Kaiqi Huang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Leveraging Joint-Action Embedding in Multiagent Reinforcement Learning for Cooperative Games.

Xingzhou Lou, Junge Zhang, Yali Du, Chao Yu, Zhaofeng He, Kaiqi Huang

IEEE Trans. Games, June, 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

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

SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward Modeling.

Xingzhou Lou, Junge Zhang, Jian Xie, Lifeng Liu, Dong Yan, Kaiqi Huang

CoRR, 2024

Position: Foundation Agents as the Paradigm Shift for Decision Making.

Xiaoqian Liu, Xingzhou Lou, Jianbin Jiao, Junge Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient.

Xingzhou Lou, Junge Zhang, Timothy J. Norman, Kaiqi Huang, Yali Du

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination.

Xue Yan, Jiaxian Guo, Xingzhou Lou, Jun Wang, Haifeng Zhang, Yali Du

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination.

Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Offline reinforcement learning with representations for actions.

Xingzhou Lou, Qiyue Yin, Junge Zhang, Chao Yu, Zhaofeng He, Nengjie Cheng, Kaiqi Huang

Inf. Sci., 2022