Learning contact-rich manipulation skills with guided policy search. - Sergey Levine; Nolan Wagener; Pieter Abbeel (ICRA, 2015)

Information theoretic MPC for model-based reinforcement learning. - Grady Williams; Nolan Wagener; Brian Goldfain; Paul Drews; James M. Rehg; Byron Boots; Evangelos A. Theodorou (ICRA, 2017)

Fast Policy Learning through Imitation and Reinforcement. - Ching-An Cheng; Xinyan Yan; Nolan Wagener; Byron Boots (UAI, 2018)

An Online Learning Approach to Model Predictive Control. - Nolan Wagener; Ching-An Cheng; Jacob Sacks; Byron Boots (Robotics: Science and Systems, 2019)

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)

Safe Reinforcement Learning Using Advantage-Based Intervention. - Nolan Wagener; Byron Boots; Ching-An Cheng (ICML, 2021)

MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control. - Nolan Wagener; Andrey Kolobov; Felipe Vieira Frujeri; Ricky Loynd; Ching-An Cheng; Matthew J. Hausknecht (NeurIPS, 2022)

Consistent Dropout for Policy Gradient Reinforcement Learning. - Matthew J. Hausknecht; Nolan Wagener (CoRR, 2022)

TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation. - Xiangyun Meng; Nathan Hatch; Alexander Lambert; Anqi Li 001; Nolan Wagener; Matthew Schmittle; Joonho Lee; Wentao Yuan; Zoey Qiuyu Chen; Samuel Deng; Greg Okopal; Dieter Fox; et al. (Robotics: Science and Systems, 2023)

H-GAP: Humanoid Control with a Generalist Planner. - Zhengyao Jiang; Yingchen Xu; Nolan Wagener; Yicheng Luo; Michael Janner; Edward Grefenstette; Tim Rocktäschel; Yuandong Tian (ICLR, 2024)

Machine Learning for Agile Robotic Control. - Nolan Wagener (2024)