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
351 * 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
232 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
230 2022 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
123 2023 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
95 2023 Conservative offline distributional reinforcement learning Y Ma, D Jayaraman, O Bastani
NeurIPS 2021; Advances in Neural Information Processing Systems 34, 2021
90 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
78 2024 Versatile Offline Imitation from Observations and Examples YJ Ma, A Shen, D Jayaraman, O Bastani
ICML 2022; arXiv preprint arXiv:2202.02433, 2022
58 * 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
53 * 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
34 * 2021 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
26 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
26 2022 Regret Bounds for Risk-Sensitive Reinforcement Learning O Bastani, YJ Ma, E Shen, W Xu
NeurIPS 2022; arXiv preprint arXiv:2210.05650, 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
17 * 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
9 2023 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 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 Environment curriculum generation via large language models W Liang, S Wang, HJ Wang, O Bastani, D Jayaraman, YJ Ma
8th Annual Conference on Robot Learning, 2024
1 2024