Pei Xu - RankMe

18 papers A* 7A 1B 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	No-Regret Strategy Solving in Imperfect-Information Games via Pre-Trained Embedding. AAAI Yanchang Fu, Shengda Liu, Pei Xu, Kaiqi Huang
2026	A*	`conf`	RefRea: Reference-Guided Reasoning with Meta-Cognition for Accurate Language Model Agents. AAAI Yuxiang Mai, Qiyue Yin, Wancheng Ni, Jianwei Guo, Xiaogang Ouyang, Pei Xu, Kaiqi Huang
2025	J	`jnl`	Beyond Outcome-Based Imperfect-Recall: Higher-Resolution Abstractions for Imperfect-Information Games. CoRR Yanchang Fu, Qiyue Yin, Shengda Liu, Pei Xu, Kaiqi Huang
2025	A*	`conf`	Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity. IJCAI Yuxiang Mai, Qiyue Yin, Wancheng Ni, Pei Xu, Kaiqi Huang
2025	J	`jnl`	Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity. CoRR Yuxiang Mai, Qiyue Yin, Wancheng Ni, Pei Xu, Kaiqi Huang
2025	J	`jnl`	Exploration via Embracing Diversity in Reinforcement Learning for Sparse-Reward Procedurally-Generated Tasks. IEEE Trans. Syst. Man Cybern. Syst. Pei Xu, Hao Chen, Wenjie Yang, Kaiqi Huang
2025	J	`jnl`	KrwEmd: Revising the Imperfect-Recall Abstraction from Forgetting Everything. CoRR Yanchang Fu, Qiyue Yin, Shengda Liu, Pei Xu, Kaiqi Huang
2025	J	`jnl`	Learning Individual Potential-Based Rewards in Multiagent Reinforcement Learning. IEEE Trans. Games Chen Yang, Pei Xu, Junge Zhang
2025	J	`jnl`	Learning differentiable categorical regions with Gumbel-Softmax for person re-identification. Neurocomputing Wenjie Yang, Pei Xu
2025	J	`jnl`	No-Regret Strategy Solving in Imperfect-Information Games via Pre-Trained Embedding. CoRR Yanchang Fu, Shengda Liu, Pei Xu, Kaiqi Huang
2025	A	`conf`	Uncertainty-Aware Opponent Modeling for Deep Reinforcement Learning. AAMAS Likun Yang, Pei Xu, Shiyue Cao, Yongjian Ren, Xiaotang Chen, Kaiqi Huang
2025	J	`jnl`	WGSR-Bench: Wargame-based Game-theoretic Strategic Reasoning Benchmark for Large Language Models. CoRR 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
2024	A*	`conf`	ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning. IJCAI Yang Yu, Qiyue Yin, Junge Zhang, Pei Xu, Kaiqi Huang
2024	A*	`conf`	Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks. IJCAI Pei Xu, Junge Zhang, Kaiqi Huang
2023	A*	`conf`	Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks. IJCAI Pei Xu, Junge Zhang, Kaiqi Huang
2023	A*	`conf`	Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks. AAAI Pei Xu, Junge Zhang, Qiyue Yin, Chao Yu, Yaodong Yang, Kaiqi Huang
2022	J	`jnl`	Deep Reinforcement Learning With Part-Aware Exploration Bonus in Video Games. IEEE Trans. Games Pei Xu, Qiyue Yin, Junge Zhang, Kaiqi Huang
2018	B	`conf`	Densely Connected Single-Shot Detector. ICPR Pei Xu, Xin Zhao, Kaiqi Huang