| 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 | 652 | 2017 |
| Automatic Goal Generation for Reinforcement Learning Agents C Florensa, D Held, X Geng, P Abbeel International Conference on Machine Learning, 1514-1523, 2018 | 479* | 2018 |
| 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 | 115 | 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 | 91 | 2020 |
| 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, 2023 | 77 | 2023 |
| Dynamical distance learning for semi-supervised and unsupervised skill discovery K Hartikainen, X Geng, T Haarnoja, S Levine arXiv preprint arXiv:1907.08225, 2019 | 74 | 2019 |
| 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 | 61 | 2023 |
| Multimodal masked autoencoders learn transferable representations X Geng, H Liu, L Lee, D Schuurmans, S Levine, P Abbeel arXiv preprint arXiv:2205.14204, 2022 | 59 | 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 | 54 | 2021 |
| 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 | 37 | 2020 |
| 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 | 33 | 2022 |
| Deep reinforcement learning for tensegrity locomotion. In 2017 IEEE Int. Conf. on Robotics and Automation (ICRA) M Zhang, X Geng, J Bruce, K Caluwaerts, M Vespignani, V SunSpiral, ... IEEE, 2017 | 21 | 2017 |
| Dynamical distance learning for unsupervised and semi-supervised skill discovery K Hartikainen, X Geng, T Haarnoja, S Levine arXiv preprint arXiv:1907.08225, 2019 | 19 | 2019 |
| 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 | 17 | 2022 |
| 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 | 13 | 2016 |
| Variable-shot adaptation for online meta-learning T Yu, X Geng, C Finn, S Levine arXiv preprint arXiv:2012.07769, 2020 | 7 | 2020 |
| Multi-stage cable routing through hierarchical imitation learning J Luo, C Xu, X Geng, G Feng, K Fang, L Tan, S Schaal, S Levine arXiv preprint arXiv:2307.08927, 2023 | 3 | 2023 |
| Effective Offline RL Needs Going Beyond Pessimism: Representations and Distributional Shift X Geng, K Li, A Gupta, A Kumar, S Levine Decision Awareness in Reinforcement Learning Workshop at ICML 2022, 2022 | 3 | 2022 |
| Data-driven optimization for protein design: Workflows, algorithms and metrics S Kolli, AX Lu, X Geng, A Kumar, S Levine ICLR2022 Machine Learning for Drug Discovery, 2022 | 3 | 2022 |
| Pretraining strategies for effective promoter-driven gene expression prediction AJ Reddy, MH Herschl, S Kolli, AX Lu, X Geng, A Kumar, PD Hsu, ... bioRxiv, 2023.02. 24.529941, 2023 | 2 | 2023 |
