| 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 | 602 | 2017 |
| Automatic Goal Generation for Reinforcement Learning Agents C Florensa, D Held, X Geng, P Abbeel International Conference on Machine Learning, 1514-1523, 2018 | 430* | 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 | 107 | 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 | 77 | 2020 |
| Dynamical distance learning for semi-supervised and unsupervised skill discovery K Hartikainen, X Geng, T Haarnoja, S Levine arXiv preprint arXiv:1907.08225, 2019 | 58 | 2019 |
| Multimodal masked autoencoders learn transferable representations X Geng, H Liu, L Lee, D Schuurams, S Levine, P Abbeel arXiv preprint arXiv:2205.14204, 2022 | 33 | 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 | 33 | 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 | 31 | 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 | 20 | 2023 |
| Dynamical distance learning for unsupervised and semi-supervised skill discovery K Hartikainen, X Geng, T Haarnoja, S Levine arXiv preprint arXiv:1907.08225, 2019 | 17 | 2019 |
| 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 | 15 | 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 | 12 | 2016 |
| 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 | 6 | 2022 |
| Variable-shot adaptation for online meta-learning T Yu, X Geng, C Finn, S Levine arXiv preprint arXiv:2012.07769, 2020 | 5 | 2020 |
| 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 | 2 | 2023 |
| 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 | 2 | 2022 |
| FCM: Forgetful Causal Masking Makes Causal Language Models Better Zero-Shot Learners H Liu, X Geng, L Lee, I Mordatch, S Levine, S Narang, P Abbeel arXiv preprint arXiv:2210.13432, 2022 | 1 | 2022 |
| 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 | 1 | 2022 |
| Latent Conservative Objective Models for Offline Data-Driven Crystal Structure Prediction H Qi, S Rando, X Geng, I Ohama, A Kumar, S Levine Workshop on''Machine Learning for Materials''ICLR 2023, 2023 | | 2023 |
| Connecting representation and generation via masked vision-language transformer X Geng, L Lee, I Mordatch, S Levine, P Abbeel, H Liu | | 2023 |
