Nolan Wagener
Nolan Wagener
Overland AI
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Zitiert von
Zitiert von
Information theoretic MPC for model-based reinforcement learning
G Williams, N Wagener, B Goldfain, P Drews, JM Rehg, B Boots, ...
IEEE International Conference on Robotics and Automation (ICRA), 1714-1721, 2017
Fast policy learning through imitation and reinforcement
CA Cheng, X Yan, N Wagener, B Boots
Uncertainty in Artificial Intelligence (UAI), 845-855, 2018
An online learning approach to model predictive control
N Wagener*, CA Cheng*, J Sacks, B Boots
Robotics: Science and Systems (RSS), 2019
Safe reinforcement learning using advantage-based intervention
N Wagener, B Boots, CA Cheng
International Conference on Machine Learning (ICML), 10630-10640, 2021
Learning contact-rich manipulation skills with guided policy search
S Levine, N Wagener, P Abbeel
IEEE International Conference on Robotics and Automation (ICRA), 156-163, 2015
TerrainNet: Visual modeling of complex terrain for high-speed, off-road navigation
X Meng, N Hatch, A Lambert, A Li, N Wagener, M Schmittle, JH Lee, ...
Robotics: Science and Systems (RSS), 2023
MoCapAct: A multi-task dataset for simulated humanoid control
N Wagener, A Kolobov, F Vieira Frujeri, R Loynd, CA Cheng, ...
Advances in Neural Information Processing Systems (NeurIPS) 35, 35418-35431, 2022
Consistent dropout for policy gradient reinforcement learning
M Hausknecht, N Wagener
arXiv preprint arXiv:2202.11818, 2022
Exploiting singular configurations for controllable, low-power friction enhancement on unmanned ground vehicles
A Foris, N Wagener, B Boots, A Mazumdar
IEEE Robotics and Automation Letters (RA-L) 5 (2), 3556-3563, 2020
H-GAP: Humanoid control with a generalist planner
Z Jiang*, Y Xu*, N Wagener, Y Luo, M Janner, E Grefenstette, ...
International Conference on Learning Representations (ICLR), 2024
Machine Learning for Agile Robotic Control
N Wagener
Georgia Institute of Technology, 2023
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