Jianzhun Shao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Learning Agents

Function Approximation

Reinforcement Learning

Top Venues

Publications

Boyuan Wang, Yun Qu, Yuhang Jiang, Jianzhun Shao, Chang Liu, Wenming Yang, Xiangyang Ji
LLM-Empowered State Representation for Reinforcement Learning. CoRR (2024)
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)
Jianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning. NeurIPS (2023)
Hongchang Zhang, Jianzhun Shao, Shuncheng He, Yuhang Jiang, Xiangyang Ji
DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning. AAAI (2023)
Jianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning. CoRR (2023)
Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji
Complementary Attention for Multi-Agent Reinforcement Learning. ICML (2023)
Shuncheng He, Yuhang Jiang, Hongchang Zhang, Jianzhun Shao, Xiangyang Ji
Wasserstein Unsupervised Reinforcement Learning. AAAI (2022)
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) (2022)
Yuhang Jiang, Jianzhun Shao, Shuncheng He, Hongchang Zhang, Xiangyang Ji
SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning. NeurIPS (2022)
Jianzhun Shao, Zhiqiang Lou, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji
Self-Organized Group for Cooperative Multi-agent Reinforcement Learning. NeurIPS (2022)
Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Guanwen Zhang, Xiangyang Ji
State Deviation Correction for Offline Reinforcement Learning. AAAI (2022)
Jianzhun Shao, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning. CoRR (2021)
Jianzhun Shao, Yuhang Jiang, Gu Wang, Zhigang Li, Xiangyang Ji
PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation. CoRR (2021)
Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Xiangyang Ji
Reducing Conservativeness Oriented Offline Reinforcement Learning. CoRR (2021)
Shuncheng He, Yuhang Jiang, Hongchang Zhang, Jianzhun Shao, Xiangyang Ji
Wasserstein Unsupervised Reinforcement Learning. CoRR (2021)
Shuncheng He, Jianzhun Shao, Xiangyang Ji
Skill Discovery of Coordination in Multi-agent Reinforcement Learning. CoRR (2020)
Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab, Federico Tombari
Self6D: Self-Supervised Monocular 6D Object Pose Estimation. CoRR (2020)
Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab, Federico Tombari
Self6D: Self-supervised Monocular 6D Object Pose Estimation. ECCV (1) (2020)
Jianzhun Shao, Yuhang Jiang, Gu Wang, Zhigang Li, Xiangyang Ji
PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation. CVPR (2020)