Jianye Hao

Tianjin University, Associate Professor (天津市青年千人,北洋青年学者)
Research Interests:Artificial intelligenceMulti-agent systemsMachine LearningGame Theroy

School of Software, Tianjin University

Jianye Hao is currently an Associate Professor in School of Software at Tianjin University. He received his Ph.D degree in Computer Science and Engineering from The Chinese University of Hong Kong in 2013 and B.E. degree from School of Computer Science and Technology at Harbin Institute of Technology in 2008.

Jianye Hao was a Postdoctoral Research Fellow in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at Massachusetts Institute of Technology (MIT) and Pillar of Information System Technology and Design (ISTD) at Singapore University of Technology and Design (SUTD) from 2013 to 2015. He was also a Lecturer at ISTD of SUTD from Nov 2014 to Mar 2015. He was a Visiting Research Fellow at National University of Singapore and University of Wollongong in 2011 and 2014 respectively.

  1. A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents
    Yan Zheng, Zhaopeng Meng, Jianye Hao (通讯作者), et al.. Proceedings of the Thirty-second Conference on Neural Information Processing Systems (NIPS): 2018 ,accepted
  2. Achieving Cooperation Through Deep Multiagent Reinforcement Learning in Sequential Prisoners Dilemmas
    Weixun Wang, Jianye Hao (通讯作者), Yixi Wang, Matthew Taylor. Adaptive Learning Agents (ALA) Workshop at AAMAS 2018: 2018 Download
  3. Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid
    Yaodong Yang, Jianye Hao (通讯作者) et al. Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI18): 2018 Download
  4. Efficient Convention Emergence through Decoupled Reinforcement Social Learning with Teacher-Student Mechanism
    Yixi Wang, Jianye Hao (通讯作者) et al.. Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018): 2018 Download
  5. Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning
    Takumi Akazaki, Shuang Liu, Yoriyuki Yamagata, Yihai Duan and Jianye Hao. Proceedings of the 22nd International Symposium on Formal Methods (FM): 2018
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