Meta-reinforcement learning of structured exploration strategies A Gupta, R Mendonca, YX Liu, P Abbeel, S Levine Advances in neural information processing systems 31, 2018 | 414 | 2018 |
Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023 | 128 | 2023 |
Discovering and achieving goals via world models R Mendonca, O Rybkin, K Daniilidis, D Hafner, D Pathak Advances in Neural Information Processing Systems 34, 24379-24391, 2021 | 110 | 2021 |
Guided Meta-Policy Search R Mendonca, A Gupta, R Kralev, P Abbeel, S Levine, C Finn Advances in Neural Information Processing Systems, 2019 | 77 | 2019 |
Affordances from human videos as a versatile representation for robotics S Bahl, R Mendonca, L Chen, U Jain, D Pathak Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 64 | 2023 |
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 | 42 | 2020 |
Structured world models from human videos R Mendonca, S Bahl, D Pathak Robotics: Science and Systems XIX (2023), 2023 | 37 | 2023 |
ALAN: Autonomously Exploring Robotic Agents in the Real World R Mendonca, S Bahl, D Pathak International Conference on Robotics and Automation, 2023 | 16 | 2023 |
Adaptive mobile manipulation for articulated objects in the open world H Xiong, R Mendonca, K Shaw, D Pathak arXiv preprint arXiv:2401.14403, 2024 | 6 | 2024 |
Efficient RL via disentangled environment and agent representations K Gmelin, S Bahl, R Mendonca, D Pathak International Conference on Machine Learning, 2023 | 6 | 2023 |