Nolan Wagener

According to our database, Nolan Wagener authored at least 11 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Machine Learning for Agile Robotic Control.

Nolan Wagener

PhD thesis, 2024

H-GAP: Humanoid Control with a Generalist Planner.

Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation.

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

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

2022

Consistent Dropout for Policy Gradient Reinforcement Learning.

Matthew J. Hausknecht, Nolan Wagener

CoRR, 2022

MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control.

Nolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri, Ricky Loynd, Ching-An Cheng, Matthew J. Hausknecht

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Safe Reinforcement Learning Using Advantage-Based Intervention.

Nolan Wagener, Byron Boots, Ching-An Cheng

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Exploiting Singular Configurations for Controllable, Low-Power Friction Enhancement on Unmanned Ground Vehicles.

Adam Foris, Nolan Wagener, Byron Boots, Anirban Mazumdar

IEEE Robotics Autom. Lett., 2020

2019

An Online Learning Approach to Model Predictive Control.

Nolan Wagener, Ching-An Cheng, Jacob Sacks, Byron Boots

Proceedings of the Robotics: Science and Systems XV, 2019

2018

Fast Policy Learning through Imitation and Reinforcement.

Ching-An Cheng, Xinyan Yan, Nolan Wagener, Byron Boots

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2017

Information theoretic MPC for model-based reinforcement learning.

Grady Williams, Nolan Wagener, Brian Goldfain, Paul Drews, James M. Rehg, Byron Boots, Evangelos A. Theodorou

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2015

Learning contact-rich manipulation skills with guided policy search.

Sergey Levine, Nolan Wagener, Pieter Abbeel

Proceedings of the IEEE International Conference on Robotics and Automation, 2015