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Nolan Wagener
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2020 – today
- 2023
- [c7]Xiangyun Meng, Nathan Hatch, Alexander Lambert, Anqi Li, Nolan Wagener, Matthew Schmittle, Joonho Lee, Wentao Yuan, Zoey Qiuyu Chen, Samuel Deng, Greg Okopal, Dieter Fox, Byron Boots, Amirreza Shaban:
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation. Robotics: Science and Systems 2023 - [i8]Xiangyun Meng, Nathan Hatch, Alexander Lambert, Anqi Li, Nolan Wagener, Matthew Schmittle, Joonho Lee, Wentao Yuan, Zoey Qiuyu Chen, Samuel Deng, Greg Okopal, Dieter Fox, Byron Boots, Amirreza Shaban:
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation. CoRR abs/2303.15771 (2023) - [i7]Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian:
H-GAP: Humanoid Control with a Generalist Planner. CoRR abs/2312.02682 (2023) - 2022
- [c6]Nolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri, Ricky Loynd, Ching-An Cheng, Matthew J. Hausknecht:
MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control. NeurIPS 2022 - [i6]Matthew J. Hausknecht, Nolan Wagener:
Consistent Dropout for Policy Gradient Reinforcement Learning. CoRR abs/2202.11818 (2022) - [i5]Nolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri, Ricky Loynd, Ching-An Cheng, Matthew J. Hausknecht:
MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control. CoRR abs/2208.07363 (2022) - 2021
- [c5]Nolan Wagener, Byron Boots, Ching-An Cheng:
Safe Reinforcement Learning Using Advantage-Based Intervention. ICML 2021: 10630-10640 - [i4]Nolan Wagener, Byron Boots, Ching-An Cheng:
Safe Reinforcement Learning Using Advantage-Based Intervention. CoRR abs/2106.09110 (2021) - 2020
- [j1]Adam Foris, Nolan Wagener, Byron Boots, Anirban Mazumdar:
Exploiting Singular Configurations for Controllable, Low-Power Friction Enhancement on Unmanned Ground Vehicles. IEEE Robotics Autom. Lett. 5(2): 3556-3563 (2020)
2010 – 2019
- 2019
- [c4]Nolan Wagener, Ching-An Cheng, Jacob Sacks, Byron Boots:
An Online Learning Approach to Model Predictive Control. Robotics: Science and Systems 2019 - [i3]Nolan Wagener, Ching-An Cheng, Jacob Sacks, Byron Boots:
An Online Learning Approach to Model Predictive Control. CoRR abs/1902.08967 (2019) - 2018
- [c3]Ching-An Cheng, Xinyan Yan, Nolan Wagener, Byron Boots:
Fast Policy Learning through Imitation and Reinforcement. UAI 2018: 845-855 - [i2]Ching-An Cheng, Xinyan Yan, Nolan Wagener, Byron Boots:
Fast Policy Learning through Imitation and Reinforcement. CoRR abs/1805.10413 (2018) - 2017
- [c2]Grady Williams, Nolan Wagener, Brian Goldfain, Paul Drews, James M. Rehg, Byron Boots, Evangelos A. Theodorou:
Information theoretic MPC for model-based reinforcement learning. ICRA 2017: 1714-1721 - 2015
- [c1]Sergey Levine, Nolan Wagener, Pieter Abbeel:
Learning contact-rich manipulation skills with guided policy search. ICRA 2015: 156-163 - [i1]Sergey Levine, Nolan Wagener, Pieter Abbeel:
Learning Contact-Rich Manipulation Skills with Guided Policy Search. CoRR abs/1501.05611 (2015)
Coauthor Index
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