| 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 | 14 | 2022 |
| 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 | 12 | 2022 |
| 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 | 10 | 2022 |
| 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 | 9 | 2021 |
| In-sample actor critic for offline reinforcement learning H Zhang, Y Mao, B Wang, S He, Y Xu, X Ji The Eleventh International Conference on Learning Representations, 2022 | 6 | 2022 |
| Reducing conservativeness oriented offline reinforcement learning H Zhang, J Shao, Y Jiang, S He, X Ji arXiv preprint arXiv:2103.00098, 2021 | 6 | 2021 |
| Skill Discovery of Coordination in Multi-agent Reinforcement Learning S He, J Shao, X Ji https://arxiv.org/abs/2006.04021, 2020 | 6 | 2020 |
| 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 | 2 | 2023 |
| 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 | 1 | 2023 |
| 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 | 1 | 2022 |
| Tinker@ Home 2019 Team Description Paper J Huo, X Han, J Bi, H Ma, R Ma, C Xu, L Ye, H Zhang, T Zhang, Z Zhang, ... | 1 | 2017 |
| Multi-agent coordination method and apparatus X Ji, S He US Patent 11,948,079, 2024 | | 2024 |
| Unsupervised reinforcement learning method and apparatus based on Wasserstein distance X Ji, S He, Y Jiang US Patent 11,823,062, 2023 | | 2023 |
| Consciousness-Aware Multi-Agent Reinforcement Learning J Shao, H Zhang, Y Qu, C Liu, S He, Y Jiang, X Ji | | 2022 |
| 分布式大规模智能车路协同 3D 仿真系统 何舜成， 张行程， 蚌绍诗， 刘佳林 | | 2014 |
| Unsupervised Data Generation for Offline Reinforcement Learning: A Perspective from Model S He, H Zhang, J Shao, Y Jiang, X Ji | | |
Jianzhun ShaoTsinghua UniversityVerified email at mails.tsinghua.edu.cn
