张海峰，中国科学院自动化研究所副研究员，群体决策智能团队负责人，于北京大学计算机系获得本科、博士学位，曾在英国伦敦大学学院（UCL）从事博士后研究工作。致力于多智能体和强化学习的学术研究和平台研发工作，在ICML、IJCAI、AAAI、AAMAS、《软件学报》等国内外知名学术会议、期刊发表论文20余篇，主持研发中科院自动化所“及第”智能体博弈平台（www.jidiai.cn），承担国家自然科学基金、科技部“新一代人工智能”重大项目、中科院先导A类项目等多项课题，所做研究应用于油气产业链调度、铁路运行图调整等多个领域。目前担任中国计算机学会计算经济学专业组常务委员。

多智能体强化学习，博弈决策智能

科技部“新一代人工智能”重大项目课题负责人、国自然青年基金项目负责人

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, 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]
Linghui Meng, Muning Wen, Chenyang Le, Xiyun Li, Dengpeng Xing, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Yaodong Yang, Bo Xu. “Offline Multi-agent Decision Transformer.” [Machine Intelligence Research 2022]
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 as A Dueling Bandits Problem.” [AAAI 2022]
Yali Du, Xue Yan, Xu Chen, Jun Wang, Haifeng Zhang. “Estimating α-Rank from A Few Entries with Low Rank Matrix Completion.” [ICML 2021]
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]
Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang. “Bi-level Actor-Critic for Multi-agent Coordination.” [AAAI 2020]