| Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning H He, C Bai, K Xu, Z Yang, W Zhang, D Wang, B Zhao, X Li Neural Information Processing Systems (NeurIPS), 2023 | 29 | 2023 |
| Diffusion models for reinforcement learning: A survey Z Zhu, H Zhao, H He, Y Zhong, S Zhang, Y Yu, W Zhang arXiv preprint arXiv:2311.01223, 2023 | 12 | 2023 |
| Robust Quadrupedal Locomotion via Risk-Averse Policy Learning J Shi, C Bai, H He, L Han, D Wang, B Zhao, X Li, X Li IEEE International Conference on Robotics and Automation (ICRA), 2024 | 6 | 2024 |
| Large-scale actionless video pre-training via discrete diffusion for efficient policy learning H He, C Bai, L Pan, W Zhang, B Zhao, X Li arXiv preprint arXiv:2402.14407, 2024 | 4 | 2024 |
| On the value of myopic behavior in policy reuse K Xu, C Bai, S Qiu, H He, B Zhao, Z Wang, W Li, X Li arXiv preprint arXiv:2305.17623, 2023 | 2 | 2023 |
| Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets H He, C Chang, H Xu, L Pan arXiv preprint arXiv:2406.01150, 2024 | 1 | 2024 |
| Privileged Knowledge Distillation for Sim-to-Real Policy Generalization H He, C Bai, H Lai, L Wang, W Zhang arXiv preprint arXiv:2305.18464, 2023 | 1 | 2023 |
| Rectifying Reinforcement Learning for Reward Matching H He, E Bengio, Q Cai, L Pan arXiv preprint arXiv:2406.02213, 2024 | | 2024 |
| SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation J Zhang, C Bai, H He, W Xia, Z Wang, B Zhao, X Li, X Li International Conference on Machine Learning (ICML), 2024 | | 2024 |
| Regularized Conditional Diffusion Model for Multi-Task Preference Alignment X Yu, C Bai, H He, C Wang, X Li arXiv preprint arXiv:2404.04920, 2024 | | 2024 |
Chenjia BaiShanghai AI Laboratory在 pjlab.org.cn 的电子邮件经过验证
