| Bdd100k: A diverse driving dataset for heterogeneous multitask learning F Yu, H Chen, X Wang, W Xian, Y Chen, F Liu, V Madhavan, T Darrell Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 3629* | 2020 |
| Sapien: A simulated part-based interactive environment F Xiang, Y Qin, K Mo, Y Xia, H Zhu, F Liu, M Liu, H Jiang, Y Yuan, H Wang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 498 | 2020 |
| Open x-embodiment: Robotic learning datasets and rt-x models A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ... arXiv preprint arXiv:2310.08864, 2023 | 494* | 2023 |
| Masked world models for visual control Y Seo, D Hafner, H Liu, F Liu, S James, K Lee, P Abbeel Conference on Robot Learning, 1332-1344, 2023 | 139 | 2023 |
| Adversarial defense by stratified convolutional sparse coding B Sun, N Tsai, F Liu, R Yu, H Su Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 117 | 2019 |
| State alignment-based imitation learning F Liu, Z Ling, T Mu, H Su International Conference on Learning Representations (ICLR), 2019, 2019 | 108* | 2019 |
| Mapping state space using landmarks for universal goal reaching Z Huang*, F Liu*, H Su Advances in Neural Information Processing Systems 32, 2019 | 74 | 2019 |
| MOKA: Open-Vocabulary Robotic Manipulation through Mark-Based Visual Prompting F Liu*, K Fang*, P Abbeel, S Levine RSS 2024, 2024 | 68* | 2024 |
| Towards more generalizable one-shot visual imitation learning Z Mandi*, F Liu*, K Lee, P Abbeel 2022 International Conference on Robotics and Automation (ICRA), 2434-2444, 2022 | 66 | 2022 |
| Revisiting the master-slave architecture in multi-agent deep reinforcement learning X Kong, B Xin, F Liu, Y Wang arXiv preprint arXiv:1712.07305, 2017 | 64 | 2017 |
| The Wisdom of Hindsight Makes Language Models Better Instruction Followers T Zhang*, F Liu*, J Wong, P Abbeel, JE Gonzalez ICML 2023, 2023 | 48 | 2023 |
| Masked autoencoding for scalable and generalizable decision making F Liu, H Liu, A Grover, P Abbeel Advances in Neural Information Processing Systems 35, 12608-12618, 2022 | 44 | 2022 |
| Fmb: a functional manipulation benchmark for generalizable robotic learning J Luo, C Xu, F Liu, L Tan, Z Lin, J Wu, P Abbeel, S Levine The International Journal of Robotics Research, 02783649241276017, 2023 | 25 | 2023 |
| Harp: Autoregressive latent video prediction with high-fidelity image generator Y Seo, K Lee, F Liu, S James, P Abbeel 2022 IEEE International Conference on Image Processing (ICIP), 3943-3947, 2022 | 22 | 2022 |
| Chain-of-thought predictive control Z Jia, F Liu, V Thumuluri, L Chen, Z Huang, H Su ICML 2024, 2024 | 16 | 2024 |
| Spawnnet: Learning generalizable visuomotor skills from pre-trained network X Lin, J So, S Mahalingam, F Liu, P Abbeel 2024 IEEE International Conference on Robotics and Automation (ICRA), 4781-4787, 2024 | 14 | 2024 |
| In-context imitation learning via next-token prediction L Fu, H Huang, G Datta, LY Chen, WCH Panitch, F Liu, H Li, K Goldberg arXiv preprint arXiv:2408.15980, 2024 | 7 | 2024 |
| Body transformer: Leveraging robot embodiment for policy learning C Sferrazza, DM Huang, F Liu, J Lee, P Abbeel arXiv preprint arXiv:2408.06316, 2024 | 4 | 2024 |
| Effective master-slave communication on a multiagent deep reinforcement learning system X Kong, B Xin, F Liu, Y Wang Hierarchical Reinforcement Learning Workshop at the 31st Conference on NIPS …, 2017 | 3 | 2017 |
| Exbody2: Advanced expressive humanoid whole-body control M Ji, X Peng, F Liu, J Li, G Yang, X Cheng, X Wang arXiv preprint arXiv:2412.13196, 2024 | 2 | 2024 |
Pieter AbbeelUC Berkeley | CovariantE-mailová adresa ověřena na: cs.berkeley.edu