Quan Vuong
Quan Vuong
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Palm-e: An embodied multimodal language model
D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, B Ichter, A Wahid, ...
arXiv preprint arXiv:2303.03378, 2023
Rt-1: Robotics transformer for real-world control at scale
A Brohan, N Brown, J Carbajal, Y Chebotar, J Dabis, C Finn, ...
arXiv preprint arXiv:2212.06817, 2022
Rt-2: Vision-language-action models transfer web knowledge to robotic control
A Brohan, N Brown, J Carbajal, Y Chebotar, X Chen, K Choromanski, ...
arXiv preprint arXiv:2307.15818, 2023
Better exploration with optimistic actor critic
K Ciosek, Q Vuong, R Loftin, K Hofmann
Advances in Neural Information Processing Systems 32, 2019
First order constrained optimization in policy space
Y Zhang, Q Vuong, K Ross
Advances in Neural Information Processing Systems, 2020
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
Open-world object manipulation using pre-trained vision-language models
A Stone, T Xiao, Y Lu, K Gopalakrishnan, KH Lee, Q Vuong, P Wohlhart, ...
arXiv preprint arXiv:2303.00905, 2023
Rt-2: Vision-language-action models transfer web knowledge to robotic control
B Zitkovich, T Yu, S Xu, P Xu, T Xiao, F Xia, J Wu, P Wohlhart, S Welker, ...
Conference on Robot Learning, 2165-2183, 2023
Multi-task Batch Reinforcement Learning with Metric Learning
J Li, Q Vuong, S Liu, M Liu, K Ciosek, H Iskov Christensen, H Su
Neural Information Processing Systems, arXiv: 1909.11373, 2020
How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?
Q Vuong, S Vikram, H Su, S Gao, HI Christensen
Learning Legged Locomotion Workshop at IEEE International Conference on …, 2019
Q-transformer: Scalable offline reinforcement learning via autoregressive q-functions
Y Chebotar, Q Vuong, K Hausman, F Xia, Y Lu, A Irpan, A Kumar, T Yu, ...
Conference on Robot Learning, 3909-3928, 2023
Octo: An open-source generalist robot policy
OM Team, D Ghosh, H Walke, K Pertsch, K Black, O Mees, S Dasari, ...
arXiv preprint arXiv:2405.12213, 2024
Striving for simplicity and performance in off-policy DRL: Output normalization and non-uniform sampling
C Wang, Y Wu, Q Vuong, K Ross
International Conference on Machine Learning, 10070-10080, 2020
Bridgedata v2: A dataset for robot learning at scale
HR Walke, K Black, TZ Zhao, Q Vuong, C Zheng, P Hansen-Estruch, ...
Conference on Robot Learning, 1723-1736, 2023
Supervised Policy Update
Q Vuong, Y Zhang, K Ross
International Conference on Learning Representations 2019, 2018
Pivot: Iterative visual prompting elicits actionable knowledge for vlms
S Nasiriany, F Xia, W Yu, T Xiao, J Liang, I Dasgupta, A Xie, D Driess, ...
arXiv preprint arXiv:2402.07872, 2024
Rt-trajectory: Robotic task generalization via hindsight trajectory sketches
J Gu, S Kirmani, P Wohlhart, Y Lu, MG Arenas, K Rao, W Yu, C Fu, ...
arXiv preprint arXiv:2311.01977, 2023
Efficient Entropy For Policy Gradient with Multi-Dimensional Action Space (3 page abstract)
Y Zhang, QH Vuong, K Song, XY Gong, KW Ross
International Conference on Learning Representations 2018 Workshop, 2018
Autort: Embodied foundation models for large scale orchestration of robotic agents
M Ahn, D Dwibedi, C Finn, MG Arenas, K Gopalakrishnan, K Hausman, ...
arXiv preprint arXiv:2401.12963, 2024
Offline rl with realistic datasets: Heteroskedasticity and support constraints
A Singh, A Kumar, Q Vuong, Y Chebotar, S Levine
arXiv preprint arXiv:2211.01052, 2022
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