2001.9-2006.7 中国科学技术大学自动化系 硕博连读  （工学博士）

1996.9-2001.7 中国科学技术大学自动化系  本科   （工学学士）

1、强化学习
2、基于博弈论的随机控制

 

 2009.2至今    中国科学技术大学自动化系  副教授，博士生导师

 2013.1-2014.1 美国伊利诺伊大学香槟分校（UIUC）机械工程系 访问学者

 2007.1-2009.1  韩国汉阳大学机械工程学院  博士后、合约教授

 2006.7-2007.1  中国矿业大学信电学院  教师

 

科技部, 科技创新2030—“新一代人工智能”重大项目课题, 2018AAA0100802, 非完全信息下融合深度强化学习的博弈决策, 182万元, 主持。

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[2] J. Zhu, X. Wang and G. E Dullerud, Enhanced decision framework for two –player zero-sum Markov games with diverse opponent policies, Applied Intelligence, 2025, 55, art no. 449.
[3] J. Zhu, C. H. Du and G. E Dullerud, Model-based offline reinforcement learning with uncertainty estimation and policy constraint, IEEE Trans. on Artificial Intelligence, 2024, 5(12): 6066 – 6079.
[4] J. Zhu, J. L. Zhang, Q. Ling and G. E Dullerud, Low resource-reallocation defense strategies for repeated security games with no prior knowledge and limited observability, IEEE Trans. on Cognitive and Developmental Systems, 2023, 15(4): 2156-2168.
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[7] R. Chen, J. Zhu and Q. Ling, Event-triggered stabilization of uncertain scalar switched linear systems with bounded network delay, ISA Transactions, 2022, 129: 28-40.
[8] J. Zhu and Q. K. Zhang, Optimal decision strategy for discrete-time Markovian jump linear systems, International Journal of Systems Science, 2022, 54(3): 565-582.
[9] J. Zhu, Y. T. Wei, Y. Kang, X. F. Jiang and G. E Dullerud, Adaptive deep reinforcement learning for non-stationary environments, Science China-Information Sciences, 2022, 65(10): 1-17.
[10] J. Zhu, X. H. Wu, C. X. Li and G. E Dullerud, State and mode feedback control strategy for discrete-time Markovian jump linear systems with time-varying controllable mode transition probability matrix, International Journal of Robust and Nonlinear Control, 2020, 30(8): 3501-3519.