| A survey on model-based reinforcement learning FM Luo, T Xu, H Lai, XH Chen, W Zhang, Y Yu Science China Information Sciences 67 (2), 121101, 2024 | 74 | 2024 |
| Bidirectional model-based policy optimization H Lai, J Shen, W Zhang, Y Yu International Conference on Machine Learning, 5618-5627, 2020 | 56 | 2020 |
| Yang Yu. A survey on model-based reinforcement learning FM Luo, T Xu, H Lai, XH Chen, W Zhang arXiv preprint arXiv:2206.09328, 2022 | 14 | 2022 |
| Multi-embodiment legged robot control as a sequence modeling problem C Yu, W Zhang, H Lai, Z Tian, L Kneip, J Wang 2023 IEEE International Conference on Robotics and Automation (ICRA), 7250-7257, 2023 | 13 | 2023 |
| Sim-to-real transfer for quadrupedal locomotion via terrain transformer H Lai, W Zhang, X He, C Yu, Z Tian, Y Yu, J Wang 2023 IEEE International Conference on Robotics and Automation (ICRA), 5141-5147, 2023 | 12 | 2023 |
| On effective scheduling of model-based reinforcement learning H Lai, J Shen, W Zhang, Y Huang, X Zhang, R Tang, Y Yu, Z Li Advances in Neural Information Processing Systems 34, 3694-3705, 2021 | 10 | 2021 |
| Yang Yu FM Luo, T Xu, H Lai, XH Chen, W Zhang A Survey on Model-based Reinforcement Learning, 2022 | 6 | 2022 |
| Adaptive Control Strategy for Quadruped Robots in Actuator Degradation Scenarios X Wu, W Dong, H Lai, Y Yu, Y Wen Proceedings of the Fifth International Conference on Distributed Artificial …, 2023 | 1 | 2023 |
| 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 |
| Adaptation augmented model-based policy optimization J Shen, H Lai, M Liu, H Zhao, Y Yu, W Zhang Journal of Machine Learning Research 24 (218), 1-35, 2023 | 1 | 2023 |
| Adversarially Trained Environment Models Are Effective Policy Evaluators and Improvers-An Application to Information Retrieval Y Li, Y Liu, X Dai, J Lin, H Lai, Y Liu, Y Yu Proceedings of the Fifth International Conference on Distributed Artificial …, 2023 | | 2023 |
