| Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations R Zhou, CX Gao, Z Zhang, Y Yu Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 17132 …, 2024 | 13 | 2024 |
| ACT: Empowering decision transformer with dynamic programming via advantage conditioning CX Gao, C Wu, M Cao, R Kong, Z Zhang, Y Yu arXiv preprint arXiv:2309.05915, 2023 | 12 | 2023 |
| Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation C Jia, F Zhang, YC Li, CX Gao, XH Liu, L Yuan, Z Zhang, Y Yu arXiv preprint arXiv:2403.07261, 2024 | 3 | 2024 |
| Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning C Jia, C Gao, H Yin, F Zhang, XH Chen, T Xu, L Yuan, Z Zhang, ZH Zhou, ... The Twelfth International Conference on Learning Representations, 2024 | 3 | 2024 |
| Hindsight Preference Learning for Offline Preference-based Reinforcement Learning CX Gao, S Fang, C Xiao, Y Yu, Z Zhang arXiv preprint arXiv:2407.04451, 2024 | 1 | 2024 |
| Diffusion Spectral Representation for Reinforcement Learning D Shribak, CX Gao, Y Li, C Xiao, B Dai arXiv preprint arXiv:2406.16121, 2024 | 1 | 2024 |
| Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning CX Gao, C Wu, M Cao, C Xiao, Y Yu, Z Zhang arXiv preprint arXiv:2502.04778, 2025 | | 2025 |
| Efficient and stable offline-to-online reinforcement learning via continual policy revitalization R Kong, C Wu, CX Gao, Z Zhang, M Li Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | | 2024 |
| Model Generation with Provable Coverability for Offline Reinforcement Learning C Jia, H Yin, C Gao, T Xu, L Yuan, Z Zhang, Y Yu arXiv preprint arXiv:2206.00316, 2022 | | 2022 |
