郝建业
- 教师拼音名称：Hao Jianye
- 性别：男
- 职称：教授
- 所属院系：智能与计算学部
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· Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks, Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang. The 11th International Conference on Learning Representations (ICLR): 2023
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· ERL-Re2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation, Jianye Hao, Pengyi Li, Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng. The 11th International Conference on Learning Representations (ICLR): 2023
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· EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan. The 11th International Conference on Learning Representations (ICLR): 2023
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· What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator, Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang. The 36th Association for the Advancement of Artificial Intelligence (AAAI): 2022
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· Journal Papers:
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· Identifying potential risk genes for clear cell renal cell carcinoma with deep reinforcement learning, Dazhi Lu, Yan Zheng, Xianyanling Yi, Jianye Hao, Xi Zeng, Lu Han, Zhigang Li, Shaoqing Jiao, Bei Jiang, Jianzhong Ai, Jiajie Peng. Nature Communications: 2025/4/15
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· Unified and explainable molecular representation learning for imperfectly annotated data from the hypergraph view, Bowen Wang, Junyou Li, Donghao Zhou, Lanqing Li, Jinpeng Li, Ercheng Wang, Jianye Hao, Liang Shi, Chengqiang Lu, Jiezhong Qiu, Tingjun Hou, Dongsheng Cao, Guangyong Chen, Pheng Ann Heng. Nature Communications: 2025/9/30
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· Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey, Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang. IEEE Transactions on Evolutionary Computation: 2024
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· WToE: Learning When to Explore in Multiagent Reinforcement Learning, Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, Yang Gao. IEEE Transactions on Cybernetics, 54(8): 4789–4801 (2024): 2024
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· A survey on interpretable reinforcement learning, Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu. Machine Learning, 2024 (MLJ): 2024
