Shao, Jianzhun

10 publications

ICML 2024 LLM-Empowered State Representation for Reinforcement Learning Boyuan Wang, Yun Qu, Yuhang Jiang, Jianzhun Shao, Chang Liu, Wenming Yang, Xiangyang Ji

ICML 2023 Complementary Attention for Multi-Agent Reinforcement Learning Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji

NeurIPS 2023 Counterfactual Conservative Q Learning for Offline Multi-Agent Reinforcement Learning Jianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji

AAAI 2023 DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning Hongchang Zhang, Jianzhun Shao, Shuncheng He, Yuhang Jiang, Xiangyang Ji

NeurIPS 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

NeurIPS 2022 SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-Agent Reinforcement Learning Yuhang Jiang, Jianzhun Shao, Shuncheng He, Hongchang Zhang, Xiangyang Ji

NeurIPS 2022 Self-Organized Group for Cooperative Multi-Agent Reinforcement Learning Jianzhun Shao, Zhiqiang Lou, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji

AAAI 2022 State Deviation Correction for Offline Reinforcement Learning Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Guanwen Zhang, Xiangyang Ji

AAAI 2022 Wasserstein Unsupervised Reinforcement Learning Shuncheng He, Yuhang Jiang, Hongchang Zhang, Jianzhun Shao, Xiangyang Ji

ECCV 2020 Self6D: Self-Supervised Monocular 6d Object Pose Estimation Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab, Federico Tombari