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 | 97 | 2020 |
Hierarchical Reinforcement Learning By Discovering Intrinsic Options J Zhang, H Yu, W Xu 2021 International Conference on Learning Representations (ICLR), 2021 | 71 | 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 | 54 | 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 | 49 | 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 | 39 | 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 | 18 | 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 | 13 | 2023 |
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling J Zhang, K Pertsch, J Zhang, JJ Lim ICRA 2024, 2024 | 8* | 2024 |
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 |
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 arXiv preprint arXiv:2402.03681, 2024 | 4 | 2024 |
Hierarchical neural program synthesis L Zhong, R Lindeborg, J Zhang, JJ Lim, SH Sun arXiv preprint arXiv:2303.06018, 2023 | 4 | 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 | 4 | 2021 |
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 | 3 | 2023 |
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 arXiv preprint arXiv:2310.05905, 2023 | 2 | 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 |
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers T Nam, J Lee, J Zhang, SJ Hwang, JJ Lim, K Pertsch arXiv preprint arXiv:2312.08958, 2023 | | 2023 |
Unsupervised Projection Networks for Generative Adversarial Networks D Arfeen, J Zhang 2019 ICCV Workshop, 2019 | | 2019 |