Ratliff, Nathan D.

9 publications

CoRL 2024 DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping with Geometric Fabrics Tyler Ga Wei Lum, Martin Matak, Viktor Makoviychuk, Ankur Handa, Arthur Allshire, Tucker Hermans, Nathan D. Ratliff, Karl Van Wyk

CoRL 2022 Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration Mandy Xie, Ankur Handa, Stephen Tyree, Dieter Fox, Harish Ravichandar, Nathan D. Ratliff, Karl Van Wyk

CoRL 2021 STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots

UAI 2011 Semi-Supervised Learning with Density Based Distances Avleen Singh Bijral, Nathan D. Ratliff, Nathan Srebro

IJCAI 2009 Self-Supervised Aerial Image Analysis for Extracting Parking Lot Structure Young-Woo Seo, Nathan D. Ratliff, Chris Urmson

AISTATS 2007 (Approximate) Subgradient Methods for Structured Prediction Nathan D. Ratliff, J. Andrew Bagnell, Martin A. Zinkevich

IJCAI 2007 Kernel Conjugate Gradient for Fast Kernel Machines Nathan D. Ratliff, J. Andrew Bagnell

NeurIPS 2006 Boosting Structured Prediction for Imitation Learning J. A. Bagnell, Joel Chestnutt, David M. Bradley, Nathan D. Ratliff

ICML 2006 Maximum Margin Planning Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinkevich