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Yecheng Jason Ma
Yecheng Jason Ma
Other namesYecheng Ma, Jason Ma, Jason Yecheng Ma
Verified email at seas.upenn.edu - Homepage
Title
Cited by
Cited by
Year
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
1302022
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
672023
Conservative offline distributional reinforcement learning
Y Ma, D Jayaraman, O Bastani
NeurIPS 2021; Advances in Neural Information Processing Systems 34, 2021
672021
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
592023
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
582023
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
472023
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
43*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
26*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
192022
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
92022
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
32023
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
22021
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
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
Composing Pre-Trained Object-Centric Representations for Robotics From “What” and “Where” Foundation Models
J Shi, J Qian, YJ Ma, D Jayaraman
Learning a Structured Policy with an Implicit Value Function
O Biza, T Kelestemur, YJ Ma, K Schmeckpeper, LLS Wong, R Platt
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Articles 1–19