| Contrastive variational reinforcement learning for complex observations X Ma, S Chen, D Hsu, WS Lee Conference on Robot Learning, 959-972, 2021 | 41 | 2021 |
| Daxbench: Benchmarking deformable object manipulation with differentiable physics S Chen, Y Xu, C Yu, L Li, X Ma, Z Xu, D Hsu arXiv preprint arXiv:2210.13066, 2022 | 22 | 2022 |
| Diffmimic: Efficient motion mimicking with differentiable physics J Ren, C Yu, S Chen, X Ma, L Pan, Z Liu arXiv preprint arXiv:2304.03274, 2023 | 13 | 2023 |
| Ab initio particle-based object manipulation S Chen, X Ma, Y Lu, D Hsu Proceedings of Robotics: Science and Systems, 2021 | 10 | 2021 |
| Imitation learning as state matching via differentiable physics S Chen, X Ma, Z Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 9 | 2023 |
| Llm-state: Expandable state representation for long-horizon task planning in the open world S Chen, A Xiao, D Hsu arXiv preprint arXiv:2311.17406, 2023 | 6 | 2023 |
| Imitation learning via differentiable physics S Chen, X Ma, Z Xu arXiv preprint arXiv:2206.04873, 2022 | 3 | 2022 |
| DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space S Chen, X Ma, D Hsu arXiv preprint arXiv:2007.06207, 2020 | 3 | 2020 |
| Improving Layer-wise Adaptive Rate Methods using Trust Ratio Clipping J Fong, S Chen, K Chen arXiv preprint arXiv:2011.13584, 2020 | 2 | 2020 |
| Differentiable Particles for General-Purpose Deformable Object Manipulation S Chen, Y Xu, C Yu, L Li, D Hsu arXiv preprint arXiv:2405.01044, 2024 | 1 | 2024 |
