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Publication search results
found 26 matches
- 2024
- Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang:
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8762-8782 (2024) - Hongyao Zhao, Jingyao Li, Wei Lu, Qian Zhang, Wanqing Yang, Jiajia Zhong, Meihui Zhang, Haixiang Li, Xiaoyong Du, Anqun Pan:
RCBench: an RDMA-enabled transaction framework for analyzing concurrency control algorithms. VLDB J. 33(2): 543-567 (2024) - 2023
- Dongqiao Xiang, Jiyang Qi, Yiqing Wen, Hui Zhao, Xiaolin Zhang, Jia Qin, Xiaomeng Ma, Yaguang Ren, Hongyao Hu, Wenyu Liu, Fan Yang, Huangxuan Zhao, Xinggang Wang, Chuansheng Zheng:
ADSeg: A flap-attention-based deep learning approach for aortic dissection segmentation. Patterns 4(5): 100727 (2023) - Qian Zhang, Jingyao Li, Hongyao Zhao, Quanqing Xu, Wei Lu, Jinliang Xiao, Fusheng Han, Chuanhui Yang, Xiaoyong Du:
Efficient Distributed Transaction Processing in Heterogeneous Networks. Proc. VLDB Endow. 16(6): 1372-1385 (2023) - 2022
- Bo Wang, Hongyao Yang, Cong Yang, Fenggui Lu, Xiaodan Wang, Dengyong Liu:
Prediction of total volatile basic nitrogen (TVB-N) and 2-thiobarbituric acid (TBA) of smoked chicken thighs using computer vision during storage at 4 °C. Comput. Electron. Agric. 199: 107170 (2022) - Hongyao Zhao, Zhanhao Zhao, Wanqing Yang, Wei Lu, Haixiang Li, Xiaoyong Du:
Experimental Study of Concurrency Control Algorithms in Main-memory Database Systems. Int. J. Softw. Informatics 12(1): 55-88 (2022) - Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang:
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. AAAI 2022: 8441-8449 - Yining Li, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang:
Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator. DAI 2022: 29-44 - Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang:
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. ICML 2022: 12979-12997 - Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Zhen Wang:
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. CoRR abs/2203.08553 (2022) - 2021
- Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao:
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. AAAI 2021: 9834-9842 - Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang:
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. NeurIPS 2021: 17037-17048 - Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng:
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. CoRR abs/2103.02225 (2021) - Chunyuan Zhang, Qi Song, Hui Zhou, Yigui Ou, Hongyao Deng, Laurence Tianruo Yang:
Revisiting Recursive Least Squares for Training Deep Neural Networks. CoRR abs/2109.03220 (2021) - Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu:
Exploration in Deep Reinforcement Learning: A Comprehensive Survey. CoRR abs/2109.06668 (2021) - Cong Wang, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang, Fazl Barez, Jinyi Liu, Jiajie Peng, Haiyin Piao, Zhixiao Sun:
ED2: An Environment Dynamics Decomposition Framework for World Model Construction. CoRR abs/2112.02817 (2021) - 2020
- Xiuli Song, Yanbing Liu, Min Xiao, Hongyao Deng, Shuai Yang:
A verifiable (t, n) threshold quantum state sharing scheme on IBM quantum cloud platform. Quantum Inf. Process. 19(9): 337 (2020) - Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei:
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. ICML 2020: 10706-10715 - Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang:
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR abs/2002.03939 (2020) - Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei:
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. CoRR abs/2002.03950 (2020) - Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Wulong Liu, Yujing Hu, Yingfeng Chen:
Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework. CoRR abs/2002.08030 (2020) - Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang:
What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator. CoRR abs/2010.09536 (2020) - 2019
- Hongyao Ke, Yinghui Wang, Xuan Guo, Lin Pan, Pengfei Jiao, Wenjun Wang, Xiaoping Yang:
Deep Mutual Encode Model for Network Embedding From Structural Identity. IEEE Access 7: 177484-177496 (2019) - Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang:
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. CoRR abs/1905.11100 (2019) - 2017
- Yangfan Sun, Hongyao Shen, Jianfeng Sha, Jianzhong Fu:
A new toolpath generation method with feed sensitive zones inspection based on inverse evaluation mechanism. Int. J. Comput. Integr. Manuf. 30(9): 926-942 (2017) - Xianglei Zhu, Shuai Zhao, Yaodong Yang, Hongyao Tang, Zan Wang, Jianye Hao:
A real-time ensemble classification algorithm for time series data. ICA 2017: 145-150
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