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Reinforcement Learning in Robotics

Reinforcement Learning in Robotics

319 faculty research Reinforcement Learning in Robotics on GradNova.

P
Ethics and Social Impacts of AI
Human-Automation Interaction and Safety
Maritime Navigation and Safety
Reinforcement Learning in Robotics
+1
R
Frugal Learning
Reinforcement Learning
Robotics
Robot Manipulation and Learning
+4
S
Machine Learning
Constraint Satisfaction and Optimization
Explainable Artificial Intelligence (xai)
Reinforcement Learning in Robotics
+2
H
Robotics, Computer Vision, and Graphics
Reinforcement Learning in Robotics
Multimodal Machine Learning Applications
Explainable Artificial Intelligence (xai)
S
Machine Learning
Reinforcement Learning in Robotics
Robot Manipulation and Learning
Machine Learning and Algorithms
+2
C
Advanced Image and Video Retrieval Techniques
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
Multimodal Machine Learning Applications
+1
B
Machine Learning
Reinforcement Learning in Robotics
Adversarial Robustness in Machine Learning
Explainable Artificial Intelligence (xai)
+2
K
Age of Information Optimization
Face and Expression Recognition
Game Theory and Applications
Game Theory and Voting Systems
+1
P
Computer Science
Electrical and Computer Engineering
Maryland Robotics Center
Umiacs
+5
T
AI-Based Problem Solving and Planning
Natural Language Processing Techniques
Reinforcement Learning in Robotics
Time Series Analysis and Forecasting
+1
H
Advanced Dc-Dc Converters
Microgrid Control and Optimization
Optimal Power Flow Distribution
Reinforcement Learning in Robotics
+1
Y
Yunzong Xu

Assistant Professor, Industrial and Enterprise Systems Engineering

Computer Science

University of Illinois Urbana-Champaign

Advanced Bandit Algorithms Research
Auction Theory and Applications
Optimization and Search Problems
Reinforcement Learning in Robotics
+1
M
Advanced Control Systems Optimization
Fault Detection and Control Systems
Formal Methods in Verification
Reinforcement Learning in Robotics
+1
B
Adversarial Robustness in Machine Learning
Autonomous Vehicle Technology and Safety
Reinforcement Learning in Robotics
B
Adaptive Dynamic Programming Control
Electromagnetic Scattering and Analysis
Electromagnetic Simulation and Numerical Methods
Reinforcement Learning in Robotics
+1
D
Adaptive Control of Nonlinear Systems
Adaptive Dynamic Programming Control
Frequency Control in Power Systems
Neural Networks and Applications
+1
S
Adversarial Robustness in Machine Learning
Information and Cyber Security
Infrastructure Resilience and Vulnerability Analysis
Reinforcement Learning in Robotics
+1
B
Adversarial Robustness in Machine Learning
Bayesian Modeling and Causal Inference
Machine Learning and Data Classification
Reinforcement Learning in Robotics
+1
D
Dr. Jie Fu

MAE Affiliate Faculty / Assistant Professor in Electrical & Computer Engineering

Department of Electrical & Computer Engineering

University of Florida

Formal Methods in Verification
Infrastructure Resilience and Vulnerability Analysis
Logic, Reasoning, and Knowledge
Reinforcement Learning in Robotics
+1
S
Sarah Sebo

Assistant Professor of Electrical Engineering and Computer Science

Computer Science

University of Kansas

Human-Computer Interaction
Human-Robot Interaction
Robotics
Social Robot Interaction and HRI
+4
Y
Autonomous Vehicle Technology and Safety
Human-Automation Interaction and Safety
Real-Time Simulation and Control Systems
Reinforcement Learning in Robotics
+1
G
Adversarial Robustness in Machine Learning
Blind Source Separation Techniques
Distributed Sensor Networks and Detection Algorithms
Reinforcement Learning in Robotics
+1
Y
Advanced Bandit Algorithms Research
Age of Information Optimization
Reinforcement Learning in Robotics
T
Advanced Bandit Algorithms Research
Advanced Vision and Imaging
Reinforcement Learning in Robotics
Remote Sensing in Agriculture
+1
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