Nathan D. Ratliff
5 papers · 1999–2024 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Ultra π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (14) π£ Hot Topic Early Bird
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Keyword Pioneer
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Keyword Champion
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Conference Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Reinforcement Learning
(3)
Artificial Intelligence
(2)
Machine Learning
(2)
Robotics
(2)
Applications Β· Reinforcement Learning
(2)
Capabilities
(2)
Core AI
(2)
Core Methods
(2)
Methods
(2)
Deep Learning
(1)
Applications Β· Robotics
(1)
Learning Types Β· Machine Learning
(1)
Learning Types Β· Deep Learning
(1)
Keywords
geometric fabrics
(2)
imitation learning
(1)
robotic manipulation
(1)
robot navigation
(1)
structured prediction
(1)
policy learning
(1)
model predictive control
(1)
boosting
(1)
robotics
(1)
gradient boosting
(1)
motion generation
(1)
collision avoidance
(1)
learning from demonstration
(1)
dexterous manipulation
(1)
cost function learning
(1)
sampling-based planning
(1)
depth image
(1)
robotic locomotion
(1)
reactive control
(1)
teacher-student distillation
(1)
Papers
DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping with Geometric Fabrics
CoRL 2024
Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration
CoRL 2022
STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation
CoRL 2021
Boosting Structured Prediction for Imitation Learning
NeurIPS 2006
(Approximate) Subgradient Methods for Structured Prediction
AISTATS 1999