Haifeng Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 37

Top Topics

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Reinforcement Learning

Top Venues

Mach. Intell. Res.

Publications

Qirui Mi, Zhiyu Zhao, Siyu Xia, Yan Song, Jun Wang, Haifeng Zhang
Learning Macroeconomic Policies based on Microfoundations: A Stackelberg Mean Field Game Approach. CoRR (2024)
Qirui Mi, Siyu Xia, Yan Song, Haifeng Zhang, Shenghao Zhu, Jun Wang
TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-agent Reinforcement Learning. AAMAS (2024)
Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang
An Empirical Study on Google Research Football Multi-agent Scenarios. Mach. Intell. Res. 21 (3) (2024)
Zhiyu Zhao, Ning Yang, Xue Yan, Haifeng Zhang, Jun Wang, Yaodong Yang
Correlated Mean Field Imitation Learning. CoRR (2024)
Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang, Jun Wang
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf. CoRR (2024)
Yan Song, He Jiang, Haifeng Zhang, Zheng Tian, Weinan Zhang, Jun Wang
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: The Past, Present, and Future. AAMAS (2024)
Ziyi Wang, Xinran Li, Luoyang Sun, Haifeng Zhang, Hualin Liu, Jun Wang
Learning State-Specific Action Masks for Reinforcement Learning. Algorithms 17 (2) (2024)
Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Haifeng Zhang, Weinan Zhang
Large Sequence Models for Sequential Decision-Making: A Survey. CoRR (2023)
Linghui Meng, Muning Wen, Chenyang Le, Xiyun Li, Dengpeng Xing, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Yaodong Yang, Bo Xu
Offline Pre-trained Multi-agent Decision Transformer. Mach. Intell. Res. 20 (2) (2023)
Qirui Mi, Siyu Xia, Yan Song, Haifeng Zhang, Shenghao Zhu, Jun Wang
TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning. CoRR (2023)
Yan Song, He Jiang, Haifeng Zhang, Zheng Tian, Weinan Zhang, Jun Wang
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future. CoRR (2023)
Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, David Henry Mguni, Jun Wang
Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models. CoRR (2023)
Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang
An Empirical Study on Google Research Football Multi-agent Scenarios. CoRR (2023)
Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, Yaodong Yang
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning. NeurIPS (2022)
Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. AAAI (2022)
Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu
GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning. AAMAS (2022)
Jakub Grudzien Kuba, Muning Wen, Yaodong Yang, Linghui Meng, Shangding Gu, Haifeng Zhang, David Henry Mguni, Jun Wang
Settling the Variance of Multi-Agent Policy Gradients. CoRR (2021)
Linghui Meng, Muning Wen, Yaodong Yang, Chenyang Le, Xiyun Li, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Bo Xu
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks. CoRR (2021)
Liheng Chen, Hongyi Guo, Yali Du, Fei Fang, Haifeng Zhang, Weinan Zhang, Yong Yu
Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning. DAI (2021)
Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang
Settling the Variance of Multi-Agent Policy Gradients. NeurIPS (2021)
Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang
Bi-Level Actor-Critic for Multi-Agent Coordination. AAAI (2020)
Wenxin Li, Haoyu Zhou, Chris Wang, Haifeng Zhang, Xingxing Hong, Yushan Zhou, Qinjian Zhang
Teaching AI Algorithms with Games Including Mahjong and FightTheLandlord on the Botzone Online Platform. CompEd (2019)
Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang
Bi-level Actor-Critic for Multi-agent Coordination. CoRR (2019)
Xinyuan Zhou, Peng Wu, Haifeng Zhang, Weihong Guo, Yuanchang Liu
Learn to Navigate: Cooperative Path Planning for Unmanned Surface Vehicles Using Deep Reinforcement Learning. IEEE Access 7 (2019)
Haifeng Zhang, Zilong Guo, Weinan Zhang, Han Cai, Chris Wang, Yong Yu, Wenxin Li, Jun Wang
Layout Design for Intelligent Warehouse by Evolution With Fitness Approximation. IEEE Access 7 (2019)
Liheng Chen, Hongyi Guo, Haifeng Zhang, Fei Fang, Yaoming Zhu, Ming Zhou, Weinan Zhang, Qing Wang, Yong Yu
Signal Instructed Coordination in Team Competition. CoRR (2019)
Yi Zhang, Houjun Huang, Haifeng Zhang, Liao Ni, Wei Xu, Nasir Uddin Ahmed, Md. Shakil Ahmed, Yilun Jin, Yingjie Chen, Jingxuan Wen, Wenxin Li
ICFVR 2017: 3rd International Competition on Finger Vein Recognition. CoRR (2018)
Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Yin Wen, Yong Yu, Wenxin Li
Learning to Design Games: Strategic Environments in Reinforcement Learning. IJCAI (2018)
Haoyu Zhou, Haifeng Zhang, Yushan Zhou, Xinchao Wang, Wenxin Li
Botzone: an online multi-agent competitive platform for AI education. ITiCSE (2018)
Haifeng Zhang, Zilong Guo, Han Cai, Chris Wang, Weinan Zhang, Yong Yu, Wenxin Li, Jun Wang
Layout Design for Intelligent Warehouse by Evolution with Fitness Approximation. CoRR (2018)
Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang
Managing Risk of Bidding in Display Advertising. WSDM (2017)
Yi Zhang, Houjun Huang, Haifeng Zhang, Liao Ni, Wei Xu, Nasir Uddin Ahmed, Md. Shakil Ahmed, Yilun Jin, Yingjie Chen, Jingxuan Wen, Wenxin Li
ICFVR 2017: 3rd international competition on finger vein recognition. IJCB (2017)
Haoyu Zhou, Yushan Zhou, Haifeng Zhang, Houjun Huang, Wenxin Li
Botzone: a competitive and interactive platform for game AI education. ACM TUR-C (2017)
Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang
Managing Risk of Bidding in Display Advertising. CoRR (2017)
Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Ying Wen, Yong Yu, Wenxin Li
Learning to Design Games: Strategic Environments in Deep Reinforcement Learning. CoRR (2017)
Kan Ren, Weinan Zhang, Yifei Rong, Haifeng Zhang, Yong Yu, Jun Wang
User Response Learning for Directly Optimizing Campaign Performance in Display Advertising. CIKM (2016)
Haifeng Zhang, Dangyi Liu, Wenxin Li
Space-Consistent Game Equivalence Detection in General Game Playing. CGW/GIGA@IJCAI (2015)