Haifeng Zhang - RankMe

53 papers A* 8A 7B 3Journal 31Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Learning Macroeconomic Policies Through Dynamic Stackelberg Mean-Field Games. ECAI Qirui Mi, Zhiyu Zhao, Chengdong Ma, Siyu Xia, Yan Song, Mengyue Yang, Jun Wang, Haifeng Zhang
2025	J	`jnl`	SpatialViz-Bench: Automatically Generated Spatial Visualization Reasoning Tasks for MLLMs. CoRR Siting Wang, Luoyang Sun, Cheng Deng, Kun Shao, Minnan Pei, Zheng Tian, Haifeng Zhang, Jun Wang
2024	J	`jnl`	A New Approach to Solving SMAC Task: Generating Decision Tree Code from Large Language Models. CoRR Yue Deng, Weiyu Ma, Yuxin Fan, Yin Zhang, Haifeng Zhang, Jian Zhao
2024	J	`jnl`	An Empirical Study on Google Research Football Multi-agent Scenarios. Mach. Intell. Res. Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang
2024	A	`conf`	Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: The Past, Present, and Future. AAMAS Yan Song, He Jiang, Haifeng Zhang, Zheng Tian, Weinan Zhang, Jun Wang
2024	J	`jnl`	Correlated Mean Field Imitation Learning. CoRR Zhiyu Zhao, Ning Yang, Xue Yan, Haifeng Zhang, Jun Wang, Yaodong Yang
2024	J	`jnl`	Efficient Reinforcement Learning with Large Language Model Priors. CoRR Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou-Ammar, Jun Wang
2024	A*	`conf`	Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach. NeurIPS Weiyu Ma, Qirui Mi, Yongcheng Zeng, Xue Yan, Runji Lin, Yuqiao Wu, Jun Wang, Haifeng Zhang
2024	J	`jnl`	Learning Macroeconomic Policies based on Microfoundations: A Stackelberg Mean Field Game Approach. CoRR Qirui Mi, Zhiyu Zhao, Siyu Xia, Yan Song, Jun Wang, Haifeng Zhang
2024	J	`jnl`	Learning State-Specific Action Masks for Reinforcement Learning. Algorithms Ziyi Wang, Xinran Li, Luoyang Sun, Haifeng Zhang, Hualin Liu, Jun Wang
2024	J	`jnl`	Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf. CoRR Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang, Jun Wang
2024	A	`conf`	TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-agent Reinforcement Learning. AAMAS Qirui Mi, Siyu Xia, Yan Song, Haifeng Zhang, Shenghao Zhu, Jun Wang
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	J	`jnl`	An Empirical Study on Google Research Football Multi-agent Scenarios. CoRR Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang
2023	J	`jnl`	Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models. CoRR Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, David Henry Mguni, Jun Wang
2023	J	`jnl`	Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future. CoRR Yan Song, He Jiang, Haifeng Zhang, Zheng Tian, Weinan Zhang, Jun Wang
2023	J	`jnl`	Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach. CoRR Weiyu Ma, Qirui Mi, Xue Yan, Yuqiao Wu, Runji Lin, Haifeng Zhang, Jun Wang
2023	J	`jnl`	Large Sequence Models for Sequential Decision-Making: A Survey. CoRR Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Haifeng Zhang, Weinan Zhang
2023	J	`jnl`	Offline Pre-trained Multi-agent Decision Transformer. Mach. Intell. Res. Linghui Meng, Muning Wen, Chenyang Le, Xiyun Li, Dengpeng Xing, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Yaodong Yang, Bo Xu
2023	J	`jnl`	TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning. CoRR Qirui Mi, Siyu Xia, Yan Song, Haifeng Zhang, Shenghao Zhu, Jun Wang
2022	A*	`conf`	A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning. NeurIPS Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, Yaodong Yang
2022	J	`jnl`	Contextual Transformer for Offline Meta Reinforcement Learning. CoRR Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang
2022	A	`conf`	GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning. AAMAS Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu
2022	J	`jnl`	GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning. CoRR Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu
2022	J	`jnl`	Joint Caching and Transmission in the Mobile Edge Network: A Multi-Agent Learning Approach. CoRR Qirui Mi, Ning Yang, Haifeng Zhang, Haijun Zhang, Jun Wang
2022	A*	`conf`	Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. AAAI Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
2022	J	`jnl`	Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. CoRR Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
2021	J	`jnl`	A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers. CoRR Chenguang Wang, Yaodong Yang, Oliver Slumbers, Congying Han, Tiande Guo, Haifeng Zhang, Jun Wang
2021	A*	`conf`	Estimating α-Rank from A Few Entries with Low Rank Matrix Completion. ICML Yali Du, Xue Yan, Xu Chen, Jun Wang, Haifeng Zhang
2021	B	`conf`	Joint Caching and Transmission in the Mobile Edge Network: An Multi-Agent Learning Approach. GLOBECOM Qirui Mi, Ning Yang, Haifeng Zhang, Haijun Zhang, Jun Wang
2021	A	`conf`	Learning Correlated Communication Topology in Multi-Agent Reinforcement learning. AAMAS Yali Du, Bo Liu, Vincent Moens, Ziqi Liu, Zhicheng Ren, Jun Wang, Xu Chen, Haifeng Zhang
2021	J	`jnl`	Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks. CoRR Linghui Meng, Muning Wen, Yaodong Yang, Chenyang Le, Xiyun Li, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Bo Xu
2021	J	`jnl`	Settling the Bias and Variance of Meta-Gradient Estimation for Meta-Reinforcement Learning. CoRR Bo Liu, Xidong Feng, Haifeng Zhang, Jun Wang, Yaodong Yang
2021	A*	`conf`	Settling the Variance of Multi-Agent Policy Gradients. NeurIPS Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang
2021	J	`jnl`	Settling the Variance of Multi-Agent Policy Gradients. CoRR Jakub Grudzien Kuba, Muning Wen, Yaodong Yang, Linghui Meng, Shangding Gu, Haifeng Zhang, David Henry Mguni, Jun Wang
2021	—	`conf`	Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning. DAI Liheng Chen, Hongyi Guo, Yali Du, Fei Fang, Haifeng Zhang, Weinan Zhang, Yong Yu
2020	A*	`conf`	Bi-Level Actor-Critic for Multi-Agent Coordination. AAAI Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang
2019	J	`jnl`	Bi-level Actor-Critic for Multi-agent Coordination. CoRR Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang
2019	J	`jnl`	Layout Design for Intelligent Warehouse by Evolution With Fitness Approximation. IEEE Access Haifeng Zhang, Zilong Guo, Weinan Zhang, Han Cai, Chris Wang, Yong Yu, Wenxin Li, Jun Wang
2019	J	`jnl`	Learn to Navigate: Cooperative Path Planning for Unmanned Surface Vehicles Using Deep Reinforcement Learning. IEEE Access Xinyuan Zhou, Peng Wu, Haifeng Zhang, Weihong Guo, Yuanchang Liu
2019	J	`jnl`	Signal Instructed Coordination in Team Competition. CoRR Liheng Chen, Hongyi Guo, Haifeng Zhang, Fei Fang, Yaoming Zhu, Ming Zhou, Weinan Zhang, Qing Wang, Yong Yu
2019	—	`conf`	Teaching AI Algorithms with Games Including Mahjong and FightTheLandlord on the Botzone Online Platform. CompEd Wenxin Li, Haoyu Zhou, Chris Wang, Haifeng Zhang, Xingxing Hong, Yushan Zhou, Qinjian Zhang
2018	B	`conf`	Botzone: an online multi-agent competitive platform for AI education. ITiCSE Haoyu Zhou, Haifeng Zhang, Yushan Zhou, Xinchao Wang, Wenxin Li
2018	J	`jnl`	ICFVR 2017: 3rd International Competition on Finger Vein Recognition. CoRR Yi Zhang, Houjun Huang, Haifeng Zhang, Liao Ni, Wei Xu, Nasir Uddin Ahmed, Md. Shakil Ahmed, Yilun Jin, Yingjie Chen, Jingxuan Wen, Wenxin Li
2018	J	`jnl`	Layout Design for Intelligent Warehouse by Evolution with Fitness Approximation. CoRR Haifeng Zhang, Zilong Guo, Han Cai, Chris Wang, Weinan Zhang, Yong Yu, Wenxin Li, Jun Wang
2018	A*	`conf`	Learning to Design Games: Strategic Environments in Reinforcement Learning. IJCAI Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Yin Wen, Yong Yu, Wenxin Li
2017	—	`conf`	Botzone: a competitive and interactive platform for game AI education. ACM TUR-C Haoyu Zhou, Yushan Zhou, Haifeng Zhang, Houjun Huang, Wenxin Li
2017	B	`conf`	ICFVR 2017: 3rd international competition on finger vein recognition. IJCB Yi Zhang, Houjun Huang, Haifeng Zhang, Liao Ni, Wei Xu, Nasir Uddin Ahmed, Md. Shakil Ahmed, Yilun Jin, Yingjie Chen, Jingxuan Wen, Wenxin Li
2017	J	`jnl`	Learning to Design Games: Strategic Environments in Deep Reinforcement Learning. CoRR Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Ying Wen, Yong Yu, Wenxin Li
2017	A	`conf`	Managing Risk of Bidding in Display Advertising. WSDM Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang
2017	J	`jnl`	Managing Risk of Bidding in Display Advertising. CoRR Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang
2016	A	`conf`	User Response Learning for Directly Optimizing Campaign Performance in Display Advertising. CIKM Kan Ren, Weinan Zhang, Yifei Rong, Haifeng Zhang, Yong Yu, Jun Wang
2015	—	`conf`	Space-Consistent Game Equivalence Detection in General Game Playing. CGW/GIGA@IJCAI Haifeng Zhang, Dangyi Liu, Wenxin Li