| Real-time user-guided image colorization with learned deep priors R Zhang, JY Zhu, P Isola, X Geng, AS Lin, T Yu, AA Efros arXiv preprint arXiv:1705.02999, 2017 | 749 | 2017 |
| Automatic Goal Generation for Reinforcement Learning Agents C Florensa, D Held, X Geng, P Abbeel International Conference on Machine Learning, 1514-1523, 2018 | 554* | 2018 |
| Koala: A dialogue model for academic research X Geng, A Gudibande, H Liu, E Wallace, P Abbeel, S Levine, D Song Blog post, April 1, 6, 2023 | 183 | 2023 |
| The false promise of imitating proprietary llms A Gudibande, E Wallace, C Snell, X Geng, H Liu, P Abbeel, S Levine, ... arXiv preprint arXiv:2305.15717, 2023 | 146 | 2023 |
| Deep reinforcement learning for tensegrity robot locomotion M Zhang, X Geng, J Bruce, K Caluwaerts, M Vespignani, V SunSpiral, ... 2017 IEEE international conference on robotics and automation (ICRA), 634-641, 2017 | 127 | 2017 |
| Rewriting history with inverse rl: Hindsight inference for policy improvement B Eysenbach, X Geng, S Levine, RR Salakhutdinov Advances in neural information processing systems 33, 14783-14795, 2020 | 103 | 2020 |
| Multimodal masked autoencoders learn transferable representations X Geng, H Liu, L Lee, D Schuurmans, S Levine, P Abbeel arXiv preprint arXiv:2205.14204, 2022 | 97 | 2022 |
| Conservative objective models for effective offline model-based optimization B Trabucco, A Kumar, X Geng, S Levine International Conference on Machine Learning, 10358-10368, 2021 | 86 | 2021 |
| Dynamical distance learning for semi-supervised and unsupervised skill discovery K Hartikainen, X Geng, T Haarnoja, S Levine arXiv preprint arXiv:1907.08225, 2019 | 85 | 2019 |
| Sequential modeling enables scalable learning for large vision models Y Bai, X Geng, K Mangalam, A Bar, AL Yuille, T Darrell, J Malik, AA Efros Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 74 | 2024 |
| Design-bench: Benchmarks for data-driven offline model-based optimization B Trabucco, X Geng, A Kumar, S Levine International Conference on Machine Learning, 21658-21676, 2022 | 73 | 2022 |
| Meta-reinforcement learning robust to distributional shift via model identification and experience relabeling R Mendonca, X Geng, C Finn, S Levine arXiv preprint arXiv:2006.07178, 2020 | 44 | 2020 |
| Offline q-learning on diverse multi-task data both scales and generalizes A Kumar, R Agarwal, X Geng, G Tucker, S Levine arXiv preprint arXiv:2211.15144, 2022 | 41 | 2022 |
| Multi-stage cable routing through hierarchical imitation learning J Luo, C Xu, X Geng, G Feng, K Fang, L Tan, S Schaal, S Levine IEEE Transactions on Robotics, 2024 | 22 | 2024 |
| Dynamical distance learning for unsupervised and semi-supervised skill discovery K Hartikainen, X Geng, T Haarnoja, S Levine arXiv preprint arXiv:1907.08225, 2019 | 20 | 2019 |
| Deep reinforcement learning for tensegrity robot locomotion X Geng, M Zhang, J Bruce, K Caluwaerts, M Vespignani, V SunSpiral, ... arXiv preprint arXiv:1609.09049, 2016 | 14 | 2016 |
| Action-quantized offline reinforcement learning for robotic skill learning J Luo, P Dong, J Wu, A Kumar, X Geng, S Levine Conference on Robot Learning, 1348-1361, 2023 | 13 | 2023 |
| Easylm: A simple and scalable training framework for large language models, 2023 X Geng URL https://github. com/young-geng/EasyLM, 2022 | 11* | 2022 |
| Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024 | 9 | 2024 |
| Variable-shot adaptation for online meta-learning T Yu, X Geng, C Finn, S Levine arXiv preprint arXiv:2012.07769, 2020 | 7 | 2020 |
