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Jianzhun Shao
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Self6d: Self-supervised monocular 6d object pose estimation
G Wang, F Manhardt, J Shao, X Ji, N Navab, F Tombari
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1272020
Pfrl: Pose-free reinforcement learning for 6d pose estimation
J Shao, Y Jiang, G Wang, Z Li, X Ji
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
342020
Wasserstein unsupervised reinforcement learning
S He, Y Jiang, H Zhang, J Shao, X Ji
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6884-6892, 2022
152022
Self-organized group for cooperative multi-agent reinforcement learning
J Shao, Z Lou, H Zhang, Y Jiang, S He, X Ji
Advances in Neural Information Processing Systems 35, 5711-5723, 2022
122022
State deviation correction for offline reinforcement learning
H Zhang, J Shao, Y Jiang, S He, G Zhang, X Ji
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 9022-9030, 2022
102022
Optimizing the dynamic treatment regime of in-hospital warfarin anticoagulation in patients after surgical valve replacement using reinforcement learning
J Zeng, J Shao, S Lin, H Zhang, X Su, X Lian, Y Zhao, X Ji, Z Zheng
Journal of the American Medical Informatics Association 29 (10), 1722-1732, 2022
92022
Credit assignment with meta-policy gradient for multi-agent reinforcement learning
J Shao, H Zhang, Y Jiang, S He, X Ji
arXiv preprint arXiv:2102.12957, 2021
92021
Skill discovery of coordination in multi-agent reinforcement learning
S He, J Shao, X Ji
arXiv preprint arXiv:2006.04021, 2020
72020
Reducing conservativeness oriented offline reinforcement learning
H Zhang, J Shao, Y Jiang, S He, X Ji
arXiv preprint arXiv:2103.00098, 2021
62021
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning
J Shao, Y Qu, C Chen, H Zhang, X Ji
Advances in Neural Information Processing Systems 36, 2024
42024
Complementary attention for multi-agent reinforcement learning
J Shao, H Zhang, Y Qu, C Liu, S He, Y Jiang, X Ji
International Conference on Machine Learning, 30776-30793, 2023
22023
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
Y Qu, B Wang, J Shao, Y Jiang, C Chen, Z Ye, L Linc, Y Feng, L Lai, H Qin, ...
Advances in Neural Information Processing Systems 36, 2024
12024
DARL: distance-aware uncertainty estimation for offline reinforcement learning
H Zhang, J Shao, S He, Y Jiang, X Ji
Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11210 …, 2023
12023
SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning
Y Jiang, J Shao, S He, H Zhang, X Ji
Advances in Neural Information Processing Systems 35, 20661-20674, 2022
12022
HoK3v3: an Environment for Generalization in Heterogeneous Multi-agent Reinforcement Learning
L Liu, J Shao, X Chen, Y Qu, B Wang, Z Ye, Y Tu, H Qin, YJ Feng, L Lai, ...
2023
Reinforcement learning-based label-free six-dimensional object pose prediction method and apparatus
X Ji, S Jianzhun
US Patent App. 17/881,615, 2023
2023
Pessimistic Policy Iteration for Offline Reinforcement Learning
H Zhang, B Wang, Y Mao, J Shao, Y Jiang, Y Xu, X Ji
2022
LLM-Empowered State Representation for Reinforcement Learning
B Wang, Y Qu, Y Jiang, J Shao, C Liu, W Yang, X Ji
Forty-first International Conference on Machine Learning, 0
Unsupervised Data Generation for Offline Reinforcement Learning: A Perspective from Model
S He, H Zhang, J Shao, Y Jiang, X Ji
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