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Jianzhun Shao
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2020 – today
- 2023
- [c10]Hongchang Zhang, Jianzhun Shao, Shuncheng He, Yuhang Jiang, Xiangyang Ji:
DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning. AAAI 2023: 11210-11218 - [c9]Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji:
Complementary Attention for Multi-Agent Reinforcement Learning. ICML 2023: 30776-30793 - [c8]Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Liu Linc, Yang Feng, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Yang Guang, Wei Yang, Lanxiao Huang, Xiangyang Ji:
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. NeurIPS 2023 - [c7]Jianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji:
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning. NeurIPS 2023 - [i7]Jianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji:
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning. CoRR abs/2309.12696 (2023) - 2022
- [j1]Juntong Zeng
, Jianzhun Shao, Shen Lin, Hongchang Zhang, Xiaoting Su, Xiaocong Lian, Yan Zhao, Xiangyang Ji, Zhe Zheng
:
Optimizing the dynamic treatment regime of in-hospital warfarin anticoagulation in patients after surgical valve replacement using reinforcement learning. J. Am. Medical Informatics Assoc. 29(10): 1722-1732 (2022) - [c6]Shuncheng He, Yuhang Jiang, Hongchang Zhang, Jianzhun Shao, Xiangyang Ji:
Wasserstein Unsupervised Reinforcement Learning. AAAI 2022: 6884-6892 - [c5]Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Guanwen Zhang, Xiangyang Ji:
State Deviation Correction for Offline Reinforcement Learning. AAAI 2022: 9022-9030 - [c4]Yuhang Jiang, Jianzhun Shao, Shuncheng He, Hongchang Zhang, Xiangyang Ji:
SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning. NeurIPS 2022 - [c3]Jianzhun Shao, Zhiqiang Lou, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji:
Self-Organized Group for Cooperative Multi-agent Reinforcement Learning. NeurIPS 2022 - 2021
- [i6]Jianzhun Shao, Yuhang Jiang, Gu Wang, Zhigang Li, Xiangyang Ji:
PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation. CoRR abs/2102.12096 (2021) - [i5]Jianzhun Shao, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji:
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning. CoRR abs/2102.12957 (2021) - [i4]Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Xiangyang Ji:
Reducing Conservativeness Oriented Offline Reinforcement Learning. CoRR abs/2103.00098 (2021) - [i3]Shuncheng He, Yuhang Jiang, Hongchang Zhang, Jianzhun Shao, Xiangyang Ji:
Wasserstein Unsupervised Reinforcement Learning. CoRR abs/2110.07940 (2021) - 2020
- [c2]Jianzhun Shao, Yuhang Jiang, Gu Wang
, Zhigang Li, Xiangyang Ji:
PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation. CVPR 2020: 11451-11460 - [c1]Gu Wang
, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab, Federico Tombari:
Self6D: Self-supervised Monocular 6D Object Pose Estimation. ECCV (1) 2020: 108-125 - [i2]Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab, Federico Tombari:
Self6D: Self-Supervised Monocular 6D Object Pose Estimation. CoRR abs/2004.06468 (2020) - [i1]Shuncheng He, Jianzhun Shao, Xiangyang Ji:
Skill Discovery of Coordination in Multi-agent Reinforcement Learning. CoRR abs/2006.04021 (2020)
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