| Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision X Yan, J Yang, E Yumer, Y Guo, H Lee Advances in neural information processing systems 29, 2016 | 658 | 2016 |
| Self-imitation learning J Oh, Y Guo, S Singh, H Lee International conference on machine learning, 3878-3887, 2018 | 358 | 2018 |
| Unsupervised discovery of object landmarks as structural representations Y Zhang, Y Guo, Y Jin, Y Luo, Z He, H Lee Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 210 | 2018 |
| Contingency-aware exploration in reinforcement learning J Choi, Y Guo, M Moczulski, J Oh, N Wu, M Norouzi, H Lee arXiv preprint arXiv:1811.01483, 2018 | 94 | 2018 |
| Predictive information accelerates learning in rl KH Lee, I Fischer, A Liu, Y Guo, H Lee, J Canny, S Guadarrama Advances in Neural Information Processing Systems 33, 11890-11901, 2020 | 84 | 2020 |
| Rvt: Robotic view transformer for 3d object manipulation A Goyal, J Xu, Y Guo, V Blukis, YW Chao, D Fox Conference on Robot Learning, 694-710, 2023 | 65 | 2023 |
| Generative adversarial self-imitation learning Y Guo, J Oh, S Singh, H Lee arXiv preprint arXiv:1812.00950, 2018 | 62 | 2018 |
| Discriminative bimodal networks for visual localization and detection with natural language queries Y Zhang, L Yuan, Y Guo, Z He, IA Huang, H Lee Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 57 | 2017 |
| Memory based trajectory-conditioned policies for learning from sparse rewards Y Guo, J Choi, M Moczulski, S Feng, S Bengio, M Norouzi, H Lee Advances in Neural Information Processing Systems 33, 4333-4345, 2020 | 42* | 2020 |
| Batch reinforcement learning through continuation method Y Guo, S Feng, N Le Roux, E Chi, H Lee, M Chen International Conference on Learning Representations, 2020 | 16 | 2020 |
| Mutual physical state-aware object handover in full-contact collaborative human-robot construction work H Yu, VR Kamat, CC Menassa, W McGee, Y Guo, H Lee Automation in Construction 150, 104829, 2023 | 12 | 2023 |
| Efficient exploration with self-imitation learning via trajectory-conditioned policy Y Guo, J Choi, M Moczulski, S Bengio, M Norouzi, H Lee arXiv preprint arXiv:1907.10247, 2019 | 10 | 2019 |
| Learning action translator for meta reinforcement learning on sparse-reward tasks Y Guo, Q Wu, H Lee Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6792-6800, 2022 | 9 | 2022 |
| Learning volumetric 3d object reconstruction from single-view with projective transformations X Yan, J Yang, E Yumer, Y Guo, H Lee Neural information processing systems, 2016 | 9 | 2016 |
| RVT-2: Learning Precise Manipulation from Few Demonstrations A Goyal, V Blukis, J Xu, Y Guo, YW Chao, D Fox arXiv preprint arXiv:2406.08545, 2024 | 3 | 2024 |
| Geometric Fabrics: a Safe Guiding Medium for Policy Learning K Van Wyk, A Handa, V Makoviychuk, Y Guo, A Allshire, ND Ratliff arXiv preprint arXiv:2405.02250, 2024 | 3 | 2024 |
| Grip state recognition for enabling safe human-robot object handover in physically collaborative construction work H Yu, VR Kamat, CC Menassa, W McGee, Y Guo, H Lee Computing in civil engineering 2023, 787-795, 2023 | 1 | 2023 |
| Learning Exploration Policies with View-based Intrinsic Rewards Y Guo, Y Fu, R Peng, H Lee Deep Reinforcement Learning Workshop NeurIPS 2022, 0 | 1 | |
| AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent T Mu, Y Guo, J Xu, A Goyal, H Su, D Fox, A Garg arXiv preprint arXiv:2404.07428, 2024 | | 2024 |
| Sample-Efficient Algorithms for Hard-Exploration Problems in Reinforcement Learning Y Guo | | 2022 |
