| Constraints penalized q-learning for safe offline reinforcement learning H Xu, X Zhan, X Zhu AAAI 2022, 2022 | 90 | 2022 |
| Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization H Xu, L Jiang, J Li, Z Yang, Z Wang, VWK Chan, X Zhan ICLR 2023, 2023 | 82 | 2023 |
| Discriminator-weighted offline imitation learning from suboptimal demonstrations H Xu, X Zhan, H Yin, H Qin ICML 2022, 2022 | 80 | 2022 |
| Deepthermal: Combustion optimization for thermal power generating units using offline reinforcement learning X Zhan, H Xu, Y Zhang, X Zhu, H Yin, Y Zheng AAAI 2022, 2022 | 79 | 2022 |
| A Policy-Guided Imitation Approach for Offline Reinforcement Learning H Xu, L Jiang, J Li, X Zhan NeurIPS 2022, 2022 | 68 | 2022 |
| When data geometry meets deep function: Generalizing offline reinforcement learning J Li, X Zhan, H Xu, X Zhu, J Liu, YQ Zhang ICLR 2023, 2023 | 38* | 2023 |
| Offline reinforcement learning with soft behavior regularization H Xu, X Zhan, J Li, H Yin NeurIPS 2021 Offline Reinforcement Learning Workshop, 2021 | 31 | 2021 |
| Model-based offline planning with trajectory pruning X Zhan, X Zhu, H Xu IJCAI 2022, 2021 | 31 | 2021 |
| Mind the Gap: Offline Policy Optimization for Imperfect Rewards J Li, X Hu, H Xu, J Liu, X Zhan, QS Jia, YQ Zhang ICLR 2023, 2023 | 24 | 2023 |
| Offline multi-agent reinforcement learning with implicit global-to-local value regularization X Wang, H Xu, Y Zheng, X Zhan NeurIPS 2023, 2023 | 20 | 2023 |
| Saformer: A conditional sequence modeling approach to offline safe reinforcement learning Q Zhang, L Zhang, H Xu, L Shen, B Wang, Y Chang, X Wang, B Yuan, ... arXiv preprint arXiv:2301.12203, 2023 | 20 | 2023 |
| Proto: Iterative policy regularized offline-to-online reinforcement learning J Li, X Hu, H Xu, J Liu, X Zhan, YQ Zhang arXiv preprint arXiv:2305.15669, 2023 | 18 | 2023 |
| Discriminator-Guided Model-Based Offline Imitation Learning W Zhang, H Xu, H Niu, P Cheng, M Li, H Zhang, G Zhou, X Zhan CoRL 2022, 2022 | 18 | 2022 |
| Robust spatio-temporal purchase prediction via deep meta learning H Qin, S Ke, X Yang, H Xu, X Zhan, Y Zheng AAAI 2021, 2021 | 16 | 2021 |
| ECoalVis: visual analysis of control strategies in coal-fired power plants S Liu, D Weng, Y Tian, Z Deng, H Xu, X Zhu, H Yin, X Zhan, Y Wu IEEE transactions on visualization and computer graphics 29 (1), 1091-1101, 2022 | 14 | 2022 |
| ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update L Mao, H Xu, W Zhang, X Zhan ICLR 2024, 2024 | 11 | 2024 |
| Curriculum goal-conditioned imitation for offline reinforcement learning X Feng, L Jiang, X Yu, H Xu, X Sun, J Wang, X Zhan, WK Chan IEEE Transactions on Games 16 (1), 102-112, 2022 | 5 | 2022 |
| Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning L Mao, H Xu, W Zhang, X Zhan, A Zhang NeurIPS 2024, 2024 | 4 | 2024 |
| Offline reinforcement learning with imbalanced datasets L Jiang, S Cheng, J Qiu, H Xu, WK Chan, Z Ding arXiv preprint arXiv:2307.02752, 2023 | 4 | 2023 |
| Learning to Achieve Goals with Belief State Transformers ES Hu, K Ahn, Q Liu, H Xu, M Tomar, A Langford, D Jayaraman, A Lamb, ... arXiv preprint arXiv:2410.23506, 2024 | 1 | 2024 |
Xianyuan ZhanAssociate Professor, Institute for AI Industry Research (AIR), Tsinghua University在 air.tsinghua.edu.cn 的电子邮件经过验证