| 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 | 203 | 2023 |
| VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training YJ Ma, S Sodhani, D Jayaraman, O Bastani, V Kumar, A Zhang ICLR 2023; arXiv preprint arXiv:2210.00030, 2022 | 201 | 2022 |
| Eureka: Human-level reward design via coding large language models YJ Ma, W Liang, G Wang, DA Huang, O Bastani, D Jayaraman, Y Zhu, ... ICLR 2024; arXiv preprint arXiv:2310.12931, 2023 | 173 | 2023 |
| Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? A Majumdar, K Yadav, S Arnaud, YJ Ma, C Chen, S Silwal, A Jain, ... NeurIPS 2023; arXiv preprint arXiv:2303.18240, 2023 | 107 | 2023 |
| Conservative offline distributional reinforcement learning Y Ma, D Jayaraman, O Bastani NeurIPS 2021; Advances in Neural Information Processing Systems 34, 2021 | 85 | 2021 |
| LIV: Language-Image Representations and Rewards for Robotic Control YJ Ma, W Liang, V Som, V Kumar, A Zhang, O Bastani, D Jayaraman ICML 2023; arXiv preprint arXiv:2306.00958, 2023 | 76 | 2023 |
| Versatile Offline Imitation from Observations and Examples YJ Ma, A Shen, D Jayaraman, O Bastani ICML 2022; arXiv preprint arXiv:2202.02433, 2022 | 52* | 2022 |
| How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via -Advantage Regression YJ Ma, J Yan, D Jayaraman, O Bastani NeurIPS 2022; arXiv preprint arXiv:2206.03023, 2022 | 47* | 2022 |
| Likelihood-Based Diverse Sampling for Trajectory Forecasting YJ Ma, JP Inala, D Jayaraman, O Bastani ICCV 2021; Proceedings of the IEEE/CVF International Conference on Computer …, 2021 | 32* | 2021 |
| Droid: A large-scale in-the-wild robot manipulation dataset A Khazatsky, K Pertsch, S Nair, A Balakrishna, S Dasari, S Karamcheti, ... arXiv preprint arXiv:2403.12945, 2024 | 29 | 2024 |
| Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning YJ Ma, A Shen, O Bastani, D Jayaraman AAAI 2022; arXiv preprint arXiv:2112.07701, 2022 | 25 | 2022 |
| Regret Bounds for Risk-Sensitive Reinforcement Learning O Bastani, YJ Ma, E Shen, W Xu NeurIPS 2022; arXiv preprint arXiv:2210.05650, 2022 | 17 | 2022 |
| DrEureka: Language Model Guided Sim-To-Real Transfer YJ Ma, W Liang, HJ Wang, S Wang, Y Zhu, L Fan, O Bastani, ... arXiv preprint arXiv:2406.01967, 2024 | 16 | 2024 |
| Safely bridging offline and online reinforcement learning W Xu, YJ Ma, K Xu, H Bastani, O Bastani AISTAT 2023; arXiv preprint arXiv:2110.13060, 2021 | 16* | 2021 |
| Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024 | 11 | 2024 |
| Safe Human-Interactive Control via Shielding J Priya Inala, YJ Ma, O Bastani, X Zhang, A Solar-Lezama arXiv e-prints, arXiv: 2110.05440, 2021 | 7* | 2021 |
| Universal Visual Decomposer: Long-Horizon Manipulation Made Easy Z Zhang, Y Li, O Bastani, A Gupta, D Jayaraman, YJ Ma, L Weihs ICRA 2024; arXiv preprint arXiv:2310.08581, 2023 | 6 | 2023 |
| TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching YJ Ma, K Sivakumar, J Yan, O Bastani, D Jayaraman L4DC 2023; arXiv preprint arXiv:2305.12663, 2023 | 5 | 2023 |
| State Relevance for Off-Policy Evaluation SP Shen, Y Ma, O Gottesman, F Doshi-Velez ICML 2021; International Conference on Machine Learning (ICML), 9537-9546, 2021 | 3 | 2021 |
| Composing Pre-Trained Object-Centric Representations for Robotics From" What" and" Where" Foundation Models J Shi, J Qian, YJ Ma, D Jayaraman arXiv preprint arXiv:2404.13474, 2024 | 1 | 2024 |
Osbert BastaniUniversity of PennsylvaniaVerified email at seas.upenn.edu
