| Daydreamer: World models for physical robot learning P Wu*, A Escontrela*, D Hafner*, K Goldberg, P Abbeel Conference on Robot Learning, 2226-2240, 2023 | 159 | 2023 |
| Visual-locomotion: Learning to walk on complex terrains with vision W Yu, D Jain, A Escontrela, A Iscen, P Xu, E Coumans, S Ha, J Tan, ... 5th Annual Conference on Robot Learning, 2021 | 66 | 2021 |
| Adversarial motion priors make good substitutes for complex reward functions A Escontrela, XB Peng, W Yu, T Zhang, A Iscen, K Goldberg, P Abbeel 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 62 | 2022 |
| Autonomously untangling long cables V Viswanath, K Shivakumar, J Kerr, B Thananjeyan, E Novoseller, ... arXiv preprint arXiv:2207.07813, 2022 | 19 | 2022 |
| Learning agile locomotion skills with a mentor A Iscen, G Yu, A Escontrela, D Jain, J Tan, K Caluwaerts 2021 IEEE International Conference on Robotics and Automation (ICRA), 2019-2025, 2021 | 18 | 2021 |
| Barkour: Benchmarking animal-level agility with quadruped robots K Caluwaerts, A Iscen, JC Kew, W Yu, T Zhang, D Freeman, KH Lee, ... arXiv preprint arXiv:2305.14654, 2023 | 17 | 2023 |
| Zero-shot terrain generalization for visual locomotion policies A Escontrela, G Yu, P Xu, A Iscen, J Tan arXiv preprint arXiv:2011.05513, 2020 | 14 | 2020 |
| Convolutional neural networks from the ground up A Escontrela Towards Data Science, 2020 | 14 | 2020 |
| Video prediction models as rewards for reinforcement learning A Escontrela, A Adeniji, W Yan, A Jain, XB Peng, K Goldberg, Y Lee, ... Advances in Neural Information Processing Systems 36, 2024 | 13 | 2024 |
| A factor-graph approach for optimization problems with dynamics constraints M Xie, A Escontrela, F Dellaert arXiv preprint arXiv:2011.06194, 2020 | 11 | 2020 |
| Learning a Diffusion Model Policy from Rewards via Q-Score Matching M Psenka, A Escontrela, P Abbeel, Y Ma arXiv preprint arXiv:2312.11752, 2023 | | 2023 |
Ken GoldbergProfessor, UC Berkeley and UCSFVerified email at berkeley.edu
