| Plasticinelab: A soft-body manipulation benchmark with differentiable physics Z Huang, Y Hu, T Du, S Zhou, H Su, JB Tenenbaum, C Gan arXiv preprint arXiv:2104.03311, 2021 | 104 | 2021 |
| The threedworld transport challenge: A visually guided task-and-motion planning benchmark for physically realistic embodied ai C Gan, S Zhou, J Schwartz, S Alter, A Bhandwaldar, D Gutfreund, ... arXiv preprint arXiv:2103.14025, 2021 | 52* | 2021 |
| Learning task decomposition with ordered memory policy network Y Lu, Y Shen, S Zhou, A Courville, JB Tenenbaum, C Gan arXiv preprint arXiv:2103.10972, 2021 | 20 | 2021 |
| Finding fallen objects via asynchronous audio-visual integration C Gan, Y Gu, S Zhou, J Schwartz, S Alter, J Traer, D Gutfreund, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 18 | 2022 |
| MA2QL: A minimalist approach to fully decentralized multi-agent reinforcement learning K Su, S Zhou, J Jiang, C Gan, X Wang, Z Lu arXiv preprint arXiv:2209.08244, 2022 | 10 | 2022 |
| Adaptive online replanning with diffusion models S Zhou, Y Du, S Zhang, M Xu, Y Shen, W Xiao, DY Yeung, C Gan Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| RoboDreamer: Learning Compositional World Models for Robot Imagination S Zhou, Y Du, J Chen, Y Li, DY Yeung, C Gan arXiv preprint arXiv:2404.12377, 2024 | 1 | 2024 |
| DCIR: Dynamic Consistency Intrinsic Reward for Multi-Agent Reinforcement Learning K Lin, Y Wang, P Chen, R Zeng, S Zhou, M Tan, C Gan arXiv preprint arXiv:2312.05783, 2023 | | 2023 |
| Inducing Reusable Skills From Demonstrations with Option-Controller Network S Zhou, Y Shen, Y Lu, A Courville, JB Tenenbaum, C Gan | | |
