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ORCIDHaifeng Zhang 0002
Person information
- unicode name: 张海峰
- affiliation: Chinese Academy of Sciences, Institute of Automation, Beijing, China
- affiliation: University College London, London, UK
- affiliation (PhD 2018): Peking University, Beijing, China
Other persons with the same name
- Haifeng Zhang (aka: Hai-Feng Zhang) — disambiguation page
- Haifeng Zhang 0001
![[0000-0003-4206-7505]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4206-7505")
(aka: Hai-Feng Zhang 0001) — Vanderbilt University, Nashville, TN, USA - Haifeng Zhang 0003 (aka: Hai-Feng Zhang 0003) — Anhui University, Hefei, China (and 1 more)
- Haifeng Zhang 0004 (aka: Hai-Feng Zhang 0004) — Harbin Institute of Technology, China
- Haifeng Zhang 0005 (aka: Hai-Feng Zhang 0005) — Guangxi Liuzhou Iron and Steel (Group) Company, China
- Haifeng Zhang 0006 (aka: Hai-Feng Zhang 0006) — University of Science and Technology of China, Hefei, China
- Haifeng Zhang 0007 (aka: Hai-Feng Zhang 0007) — Beijing Jiaotong University, Beijing, China
- Haifeng Zhang 0008 (aka: Hai-Feng Zhang 0008) — Carnegie Mellon University, PA, USA
- Haifeng Zhang 0009 (aka: Hai-Feng Zhang 0009) — University of North Texas, Denton, TX, USA
- Haifeng Zhang 0010 (aka: Hai-Feng Zhang 0010) — State Grid Electric Power Research Institute, Beijing, China
- Haifeng Zhang 0011 (aka: Hai-Feng Zhang 0011) — Peking University, Beijing, China
- Haifeng Zhang 0012 (aka: Hai-Feng Zhang 0012) — Fuzhou University, Fuzhou, China
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2020 – today
- 2024
[j6]Ziyi Wang, Xinran Li, Luoyang Sun, Haifeng Zhang, Hualin Liu, Jun Wang:
Learning State-Specific Action Masks for Reinforcement Learning. Algorithms 17(2): 60 (2024)- [j5]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): 549-570 (2024) - [c21]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: 1390-1399 - [c20]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: 1772-1781 - [c19]Weiyu Ma, Qirui Mi, Yongcheng Zeng, Xue Yan, Runji Lin, Yuqiao Wu, Jun Wang, Haifeng Zhang:
Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach. NeurIPS 2024 - [i25]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 abs/2403.12093 (2024) - [i24]Zhiyu Zhao, Ning Yang, Xue Yan, Haifeng Zhang, Jun Wang, Yaodong Yang:
Correlated Mean Field Imitation Learning. CoRR abs/2404.09324 (2024) - [i23]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 abs/2405.19946 (2024) - [i22]Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou-Ammar, Jun Wang:
Efficient Reinforcement Learning with Large Language Model Priors. CoRR abs/2410.07927 (2024) - [i21]Yue Deng, Weiyu Ma, Yuxin Fan, Yin Zhang, Haifeng Zhang, Jian Zhao:
A New Approach to Solving SMAC Task: Generating Decision Tree Code from Large Language Models. CoRR abs/2410.16024 (2024) - 2023
- [j4]Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Hai-Feng Zhang, Weinan Zhang:
Large sequence models for sequential decision-making: a survey. Frontiers Comput. Sci. 17(6): 176349 (2023) - [j3]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): 233-248 (2023) - [c18]Xue Yan, Jiaxian Guo, Xingzhou Lou, Jun Wang, Haifeng Zhang, Yali Du:
An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination. NeurIPS 2023 - [i20]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 abs/2305.09458 (2023) - [i19]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 abs/2306.13945 (2023) - [i18]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 abs/2309.12951 (2023) - [i17]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 abs/2309.16307 (2023) - [i16]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 abs/2310.18127 (2023) - [i15]Weiyu Ma, Qirui Mi, Xue Yan, Yuqiao Wu, Runji Lin, Haifeng Zhang, Jun Wang:
Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach. CoRR abs/2312.11865 (2023) - 2022
- [c17]Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen:
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. AAAI 2022: 8797-8805 - [c16]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: 1128-1136 - [c15]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 - [i14]Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen:
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. CoRR abs/2201.04480 (2022) - [i13]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. CoRR abs/2201.06257 (2022) - [i12]Qirui Mi, Ning Yang, Haifeng Zhang, Haijun Zhang, Jun Wang:
Joint Caching and Transmission in the Mobile Edge Network: A Multi-Agent Learning Approach. CoRR abs/2209.04164 (2022) - [i11]Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang:
Contextual Transformer for Offline Meta Reinforcement Learning. CoRR abs/2211.08016 (2022) - 2021
- [c14]Yali Du, Bo Liu, Vincent Moens, Ziqi Liu, Zhicheng Ren, Jun Wang, Xu Chen, Haifeng Zhang:
Learning Correlated Communication Topology in Multi-Agent Reinforcement learning. AAMAS 2021: 456-464 - [c13]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: 185-205 - [c12]Qirui Mi, Ning Yang, Haifeng Zhang, Haijun Zhang, Jun Wang:
Joint Caching and Transmission in the Mobile Edge Network: An Multi-Agent Learning Approach. GLOBECOM 2021: 1-6 - [c11]Yali Du, Xue Yan, Xu Chen, Jun Wang, Haifeng Zhang:
Estimating α-Rank from A Few Entries with Low Rank Matrix Completion. ICML 2021: 2870-2879 - [c10]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: 13458-13470 - [i10]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 abs/2108.08612 (2021) - [i9]Chenguang Wang, Yaodong Yang, Oliver Slumbers, Congying Han, Tiande Guo, Haifeng Zhang, Jun Wang:
A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers. CoRR abs/2110.15105 (2021) - [i8]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 abs/2112.02845 (2021) - [i7]Bo Liu, Xidong Feng, Haifeng Zhang, Jun Wang, Yaodong Yang:
Settling the Bias and Variance of Meta-Gradient Estimation for Meta-Reinforcement Learning. CoRR abs/2112.15400 (2021) - 2020
- [c9]Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang:
Bi-Level Actor-Critic for Multi-Agent Coordination. AAAI 2020: 7325-7332
2010 – 2019
- 2019
- [j2]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: 165262-165278 (2019) - [j1]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: 166310-166317 (2019) - [c8]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: 129-135 - [i6]Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang:
Bi-level Actor-Critic for Multi-agent Coordination. CoRR abs/1909.03510 (2019) - [i5]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 abs/1909.04224 (2019) - 2018
- [c7]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: 3068-3074 - [c6]Haoyu Zhou, Haifeng Zhang, Yushan Zhou, Xinchao Wang, Wenxin Li:
Botzone: an online multi-agent competitive platform for AI education. ITiCSE 2018: 33-38 - [i4]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 abs/1801.01262 (2018) - [i3]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 abs/1811.05685 (2018) - 2017
- [c5]Haoyu Zhou, Yushan Zhou, Haifeng Zhang, Houjun Huang, Wenxin Li:
Botzone: a competitive and interactive platform for game AI education. ACM TUR-C 2017: 6:1-6:5 - [c4]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: 707-714 - [c3]Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang:
Managing Risk of Bidding in Display Advertising. WSDM 2017: 581-590 - [i2]Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang:
Managing Risk of Bidding in Display Advertising. CoRR abs/1701.02433 (2017) - [i1]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 abs/1707.01310 (2017) - 2016
- [c2]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: 679-688 - 2015
- [c1]Haifeng Zhang, Dangyi Liu, Wenxin Li:
Space-Consistent Game Equivalence Detection in General Game Playing. CGW/GIGA@IJCAI 2015: 165-177
Coauthor Index
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