Follow
Yecheng Jason Ma
Title
Cited by
Cited by
Year
Conservative offline distributional reinforcement learning
Y Ma, D Jayaraman, O Bastani
NeurIPS 2021; Advances in Neural Information Processing Systems 34, 2021
122021
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
8*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, 2021
42021
Safely bridging offline and online reinforcement learning
W Xu, K Xu, H Bastani, O Bastani
arXiv preprint arXiv:2110.13060, 2021
22021
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching
YJ Ma, A Shen, D Jayaraman, O Bastani
ICML 2022; arXiv preprint arXiv:2202.02433, 2022
1*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
1*2021
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via -Advantage Regression
YJ Ma, J Yan, D Jayaraman, O Bastani
arXiv preprint arXiv:2206.03023, 2022
2022
Versatile Offline Imitation Learning via State-Occupancy Matching
YJ Ma, A Shen, D Jayaraman, O Bastani
ICLR 2022 Workshop on Generalizable Policy Learning in Physical World, 2022
2022
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
2021
The system can't perform the operation now. Try again later.
Articles 1–9