| When to Update Your Model: Constrained Model-based Reinforcement Learning T Ji, Y Luo, F Sun, M Jing, F He, W Huang Advances in Neural Information Processing Systems (2022), 2022 | 11 | 2022 |
| DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization G Xu, R Zheng, Y Liang, X Wang, Z Yuan, T Ji, Y Luo, X Liu, J Yuan, ... ICLR 2024, 2023 | 10 | 2023 |
| Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic T Ji, Y Luo, F Sun, X Zhan, J Zhang, H Xu ICML 2024, 2023 | 9 | 2023 |
| BDAC: A Behavior-aware Dynamic Adaptive Configuration on DHCP in Wireless LANs C Miao, J Wang, T Ji, H Wang, C Xu, F Li, F Ren 2019 IEEE 27th International Conference on Network Protocols (ICNP), 1-11, 2019 | 9 | 2019 |
| Goal-Conditioned Hierarchical Reinforcement Learning With High-Level Model Approximation Y Luo, T Ji, F Sun, H Liu, J Zhang, M Jing, W Huang IEEE Transactions on Neural Networks and Learning Systems, 2024 | 1 | 2024 |
| H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps H Niu, T Ji, B Liu, H Zhao, X Zhu, J Zheng, P Huang, G Zhou, J Hu, X Zhan ICLR 2024 @ DMLR Workshop, 2023 | 1 | 2023 |
| A Robust Tube-Based Smooth-MPC for Robot Manipulator Planning Y Luo, M Jing, T Ji, F Sun, H Liu arXiv preprint arXiv:2103.09693, 2021 | 1 | 2021 |
| Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies Y Luo, F Sun, T Ji, X Zhan arXiv preprint arXiv:2406.18053, 2024 | | 2024 |
| RoboGolf: Mastering Real-World Minigolf with a Reflective Multi-Modality Vision-Language Model H Zhou, T Ji, J Zhang, F Sun, H Xu arXiv preprint arXiv:2406.10157, 2024 | | 2024 |
| OMPO: A Unified Framework for RL under Policy and Dynamics Shifts Y Luo, T Ji, F Sun, J Zhang, H Xu, X Zhan ICML 2024, 2024 | | 2024 |
| Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL Y Luo, T Ji, F Sun, J Zhang, H Xu, X Zhan ICML 2024, 2024 | | 2024 |
| Scrutinize What We Ignore: Reining Task Representation Shift In Context-Based Offline Meta Reinforcement Learning H Zhang, B Zheng, A Guo, T Ji, PA Heng, J Zhao, L Li arXiv preprint arXiv:2405.12001, 2024 | | 2024 |
| Smooth Computation without Input Delay: Robust Tube-Based Model Predictive Control for Robot Manipulator Planning Q Sima, Y Luo, T Ji, F Sun, H Liu, J Zhang ICRA 2024, 2024 | | 2024 |
| ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization T Ji, Y Liang, Y Zeng, Y Luo, G Xu, J Guo, R Zheng, F Huang, F Sun, H Xu ICML 2024, 2024 | | 2024 |
| A Unified Framework for Reinforcement Learning under Policy and Dynamic Shifts Y Luo, T Ji, F Sun, JD Zhang, H Xu, X Zhan ICML 2024, 2023 | | 2023 |
| Bidirectional-Reachable Hierarchical RL with Mutually Responsive Policies Y Luo, T Ji, F Sun, X Zhan, JD Zhang, W Huang | | |
Huazhe XuTsinghua University在 berkeley.edu 的电子邮件经过验证
