Pei Xu

According to our database, Pei Xu authored at least 18 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model.

Shiyue Cao, Pei Xu, Likun Yang, Lei Cui, Xiaotang Chen, Kaiqi Huang

CoRR, May, 2026

Repeated Deceptive Path Planning against Learnable Observer.

Shiyue Cao, Pei Xu, Likun Yang, Lei Cui, Shizhao Yu, Shiyu Zhang, Yongjian Ren, Xiaotang Chen, Kaiqi Huang

CoRR, May, 2026

RefRea: Reference-Guided Reasoning with Meta-Cognition for Accurate Language Model Agents.

Yuxiang Mai, Qiyue Yin, Wancheng Ni, Jianwei Guo, Xiaogang Ouyang, Pei Xu, Kaiqi Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

No-Regret Strategy Solving in Imperfect-Information Games via Pre-Trained Embedding.

Yanchang Fu, Shengda Liu, Pei Xu, Kaiqi Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

KrwEmd: Revising the Imperfect-Recall Abstraction from Forgetting Everything.

Yanchang Fu, Qiyue Yin, Shengda Liu, Pei Xu, Kaiqi Huang

CoRR, November, 2025

Beyond Outcome-Based Imperfect-Recall: Higher-Resolution Abstractions for Imperfect-Information Games.

Yanchang Fu, Qiyue Yin, Shengda Liu, Pei Xu, Kaiqi Huang

CoRR, October, 2025

Exploration via Embracing Diversity in Reinforcement Learning for Sparse-Reward Procedurally-Generated Tasks.

Pei Xu, Hao Chen, Wenjie Yang, Kaiqi Huang

IEEE Trans. Syst. Man Cybern. Syst., September, 2025

Learning Individual Potential-Based Rewards in Multiagent Reinforcement Learning.

Chen Yang, Pei Xu, Junge Zhang

IEEE Trans. Games, June, 2025

WGSR-Bench: Wargame-based Game-theoretic Strategic Reasoning Benchmark for Large Language Models.

Qiyue Yin, Pei Xu, Qiaozhe Li, Shengda Liu, Shengqi Shen, Tong Wang, Yihong Han, Xiaonan Zhao, Likun Yang, Shiyue Cao, Shiyu Qiu, Yuxuan Liu, Shizhao Yu, Lei Cui, Chengxin Yan, Jie Sun, Xiangquan Tang, Kaiqi Huang

CoRR, June, 2025

Learning differentiable categorical regions with Gumbel-Softmax for person re-identification.

Wenjie Yang, Pei Xu

Neurocomputing, 2025

Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity.

Yuxiang Mai, Qiyue Yin, Wancheng Ni, Pei Xu, Kaiqi Huang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Uncertainty-Aware Opponent Modeling for Deep Reinforcement Learning.

Likun Yang, Pei Xu, Shiyue Cao, Yongjian Ren, Xiaotang Chen, Kaiqi Huang

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks.

Pei Xu, Junge Zhang, Kaiqi Huang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning.

Yang Yu, Qiyue Yin, Junge Zhang, Pei Xu, Kaiqi Huang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks.

Pei Xu, Junge Zhang, Kaiqi Huang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks.

Pei Xu, Junge Zhang, Qiyue Yin, Chao Yu, Yaodong Yang, Kaiqi Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deep Reinforcement Learning With Part-Aware Exploration Bonus in Video Games.

Pei Xu, Qiyue Yin, Junge Zhang, Kaiqi Huang

IEEE Trans. Games, 2022

2018

Densely Connected Single-Shot Detector.

Pei Xu, Xin Zhao, Kaiqi Huang

Proceedings of the 24th International Conference on Pattern Recognition, 2018