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
139 2022 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
84 2023 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
74 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
70 2023 Conservative offline distributional reinforcement learning Y Ma, D Jayaraman, O Bastani
NeurIPS 2021; Advances in Neural Information Processing Systems 34, 2021
70 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
57 2023 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
44 * 2022 Versatile Offline Imitation from Observations and Examples YJ Ma, A Shen, D Jayaraman, O Bastani
ICML 2022; arXiv preprint arXiv:2202.02433, 2022
40 * 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
27 * 2021 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
19 2022 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 Regret Bounds for Risk-Sensitive Reinforcement Learning O Bastani, YJ Ma, E Shen, W Xu
NeurIPS 2022; arXiv preprint arXiv:2210.05650, 2022
9 2022 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
5 * 2021 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
3 2023 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
2 2024 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
2 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
2024 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
2023 Learning a Structured Policy with an Implicit Value Function O Biza, T Kelestemur, YJ Ma, K Schmeckpeper, LLS Wong, R Platt