| Cog: Connecting new skills to past experience with offline reinforcement learning A Singh, A Yu, J Yang, J Zhang, A Kumar, S Levine 2020 Conference on Robot Learning (CoRL), 2020 | 110 | 2020 |
| Hierarchical Reinforcement Learning By Discovering Intrinsic Options J Zhang, H Yu, W Xu 2021 International Conference on Learning Representations (ICLR), 2021 | 82 | 2021 |
| Cautious adaptation for reinforcement learning in safety-critical settings J Zhang, B Cheung, C Finn, S Levine, D Jayaraman International Conference on Machine Learning, 11055-11065, 2020 | 66 | 2020 |
| Learning to Synthesize Programs as Interpretable and Generalizable Policies D Trivedi, J Zhang, SH Sun, JJ Lim 2021 Conference on Neural Information Processing Systems (NeurIPS), 2021 | 61 | 2021 |
| Replab: A reproducible low-cost arm benchmark platform for robotic learning B Yang, J Zhang, V Pong, S Levine, D Jayaraman 2019 International Conference on Robotics and Automation (ICRA), 2019 | 42 | 2019 |
| Bootstrap your own skills: Learning to solve new tasks with large language model guidance J Zhang, J Zhang, K Pertsch, Z Liu, X Ren, M Chang, SH Sun, JJ Lim CoRL 2023, 2023 | 39 | 2023 |
| RoboCLIP: One Demonstration is Enough to Learn Robot Policies SA Sontakke, J Zhang, SMR Arnold, K Pertsch, E Bıyık, D Sadigh, C Finn, ... NeurIPS 2023, 2023 | 28 | 2023 |
| Rl-vlm-f: Reinforcement learning from vision language foundation model feedback Y Wang, Z Sun, J Zhang, Z Xian, E Biyik, D Held, Z Erickson ICML 2024, 2024 | 16 | 2024 |
| CLVR Jaco Play Dataset S Dass, J Yapeter, J Zhang, J Zhang, K Pertsch, S Nikolaidis, JJ Lim https://github. com/clvrai/clvr_jaco_play_dataset, 2023 | 12* | 2023 |
| SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling J Zhang, K Pertsch, J Zhang, JJ Lim ICRA 2024, 2024 | 9* | 2024 |
| Tail: Task-specific adapters for imitation learning with large pretrained models Z Liu, J Zhang, K Asadi, Y Liu, D Zhao, S Sabach, R Fakoor ICLR 2024, 2023 | 9 | 2023 |
| Machine learning on visibility graph features discriminates the cognitive event-related potentials of patients with early Alzheimer’s disease from healthy aging J Zhang, J Xia, X Liu, J Olichney Brain Sciences 13 (5), 770, 2023 | 5 | 2023 |
| Minimum Description Length Skills for Accelerated Reinforcement Learning J Zhang, K Pertsch, J Yang, J Lim, J. Self-Supervision for Reinforcement Learning Workshop - ICLR 2021, 2021 | 5 | 2021 |
| Mobilitynet: Towards a public dataset for multi-modal mobility research K Shankari, J Fuerst, MF Argerich, E Avramidis, J Zhang 2020 ICLR Climate Change AI Workshop, 2020 | 5 | 2020 |
| Hierarchical neural program synthesis L Zhong, R Lindeborg, J Zhang, JJ Lim, SH Sun arXiv preprint arXiv:2303.06018, 2023 | 4 | 2023 |
| EXTRACT: Efficient Policy Learning by Extracting Transferrable Robot Skills from Offline Data J Zhang, M Heo, Z Liu, E Biyik, JJ Lim, Y Liu, R Fakoor arXiv preprint arXiv:2406.17768, 2024 | 1 | 2024 |
| Lift: Unsupervised reinforcement learning with foundation models as teachers T Nam, J Lee, J Zhang, SJ Hwang, JJ Lim, K Pertsch 2nd Workshop on Agent Learning in Open-Endedness (ALOE) at NeurIPS 2023, 2023 | 1 | 2023 |
| TripAware: Emotional and Informational Approaches to Encourage Sustainable Transportation via Mobile Applications J Zhang, J Sullivan, K Tse, A Yan, J Leyden, K Shankari, R Katz Proceedings of the 6th ACM International Conference on Systems for Energy …, 2019 | 1 | 2019 |
| Unsupervised Projection Networks for Generative Adversarial Networks D Arfeen, J Zhang 2019 ICCV Workshop, 2019 | | 2019 |
Joseph J. LimAssociate Professor at KAISTVerified email at csail.mit.edu
