Jianzhun Shao

According to our database, Jianzhun Shao authored at least 14 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.

Jianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Complementary Attention for Multi-Agent Reinforcement Learning.

Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji

Proceedings of the International Conference on Machine Learning, 2023

DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning.

Hongchang Zhang, Jianzhun Shao, Shuncheng He, Yuhang Jiang, Xiangyang Ji

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Optimizing the dynamic treatment regime of in-hospital warfarin anticoagulation in patients after surgical valve replacement using reinforcement learning.

Juntong Zeng, Jianzhun Shao, Shen Lin, Hongchang Zhang, Xiaoting Su, Xiaocong Lian, Yan Zhao, Xiangyang Ji, Zhe Zheng

J. Am. Medical Informatics Assoc., 2022

Self-Organized Group for Cooperative Multi-agent Reinforcement Learning.

Jianzhun Shao, Zhiqiang Lou, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning.

Yuhang Jiang, Jianzhun Shao, Shuncheng He, Hongchang Zhang, Xiangyang Ji

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

State Deviation Correction for Offline Reinforcement Learning.

Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Guanwen Zhang, Xiangyang Ji

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Wasserstein Unsupervised Reinforcement Learning.

Shuncheng He, Yuhang Jiang, Hongchang Zhang, Jianzhun Shao, Xiangyang Ji

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Reducing Conservativeness Oriented Offline Reinforcement Learning.

Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Xiangyang Ji

CoRR, 2021

Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning.

Jianzhun Shao, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji

CoRR, 2021

2020

Skill Discovery of Coordination in Multi-agent Reinforcement Learning.

Shuncheng He, Jianzhun Shao, Xiangyang Ji

CoRR, 2020

Self6D: Self-supervised Monocular 6D Object Pose Estimation.

Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab, Federico Tombari

Proceedings of the Computer Vision - ECCV 2020, 2020

PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation.

Jianzhun Shao, Yuhang Jiang, Gu Wang, Zhigang Li, Xiangyang Ji

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020