| Contrastive variational reinforcement learning for complex observations X Ma, S Chen, D Hsu, WS Lee Conference on robot learning, 959-972, 2021 | 44 | 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 | 24 | 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 | 16 | 2023 |
| LLM-State: Expandable state representation for long-horizon task planning in the open world S Chen, A Xiao, D Hsu CoRR, 2023 | 10 | 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 | 8 | 2023 |
| Llm-state: Open world state representation for long-horizon task planning with large language model S Chen, A Xiao, D Hsu arXiv preprint arXiv:2311.17406, 2023 | 6 | 2023 |
| Differentiable particles for general-purpose deformable object manipulation S Chen, Y Xu, C Yu, L Li, D Hsu arXiv preprint arXiv:2405.01044, 2024 | 5 | 2024 |
| Imitation learning via differentiable physics S Chen, X Ma, Z Xu arXiv preprint arXiv:2206.04873, 2022 | 5 | 2022 |
| Improving layer-wise adaptive rate methods using trust ratio clipping J Fong, S Chen, K Chen arXiv preprint arXiv:2011.13584, 2020 | 2 | 2020 |
| DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space S Chen, X Ma, D Hsu arXiv preprint arXiv:2007.06207, 2020 | 2 | 2020 |
