GradNova

Home
Find Faculty
Universities
Research
Home
/
Research
/

Reinforcement Learning in Robotics

Reinforcement Learning in Robotics

319 faculty research Reinforcement Learning in Robotics on GradNova.

C
Chad Jenkins

Professor, College of Engineering Robotics Institute; Associate Director, Michigan Robotics Institute; Professor (courtesy), EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Human-Robot Interaction, Including Exploration of Methods That Enable Robots to Learn Human Skills
Robotics and Automated Systems
Reinforcement Learning in Robotics
Robotic Path Planning Algorithms
N
Nima Fazeli

Associate Professor, Mechanical Engineering; Associate Professor, Robotics

Computer Science and Engineering

University of Michigan

Physical Interaction and Contact
Robot Learning and Control
Robotic Manipulation
State-Estimation
+5
U
Biomedical Text Mining and Ontologies
Data Management and Algorithms
Reinforcement Learning in Robotics
Semantic Web and Ontologies
+1
A
Multi-Agent Systems and Negotiation
Natural Language Processing Techniques
Recommender Systems and Techniques
Reinforcement Learning in Robotics
+1
P
Advanced Wireless Communication Technologies
Domain Adaptation and Few-Shot Learning
Generative Adversarial Networks and Image Synthesis
Reinforcement Learning in Robotics
+1
R
Advanced Bandit Algorithms Research
Adversarial Robustness in Machine Learning
Generative Adversarial Networks and Image Synthesis
Privacy-Preserving Technologies in Data
+1
B
Artificial Intelligence in Games
Digital Games and Media
Multimodal Machine Learning Applications
Reinforcement Learning in Robotics
+1
T
Multi-Agent Systems and Negotiation
AI-Based Problem Solving and Planning
Logic, Reasoning, and Knowledge
Reinforcement Learning in Robotics
M
Complex Network Analysis Techniques
Game Theory and Applications
Opinion Dynamics and Social Influence
Reinforcement Learning in Robotics
+1
A
Advanced Bandit Algorithms Research
Auction Theory and Applications
Machine Learning and Algorithms
Optimization and Search Problems
+1
P
AI-Based Problem Solving and Planning
Bayesian Modeling and Causal Inference
Logic, Reasoning, and Knowledge
Multi-Agent Systems and Negotiation
+1
P
AI-Based Problem Solving and Planning
Bayesian Modeling and Causal Inference
Reinforcement Learning in Robotics
Semantic Web and Ontologies
+1
Z
Zachary Sunberg

Assistant Professor Smead Aerospace Engineering Sciences

Computer Science

University of Colorado Boulder

Autonomous Vehicle Technology and Safety
Bayesian Modeling and Causal Inference
Formal Methods in Verification
Reinforcement Learning in Robotics
+1
M
Morteza Lahijanian

Assistant Professor Smead Aerospace Engineering Sciences

Computer Science

University of Colorado Boulder

AI-Based Problem Solving and Planning
Fault Detection and Control Systems
Formal Methods in Verification
Reinforcement Learning in Robotics
+1
A
Advanced Memory and Neural Computing
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Neural Networks and Applications
+1
A
Formal Methods in Verification
Logic, Reasoning, and Knowledge
Machine Learning and Algorithms
Reinforcement Learning in Robotics
A
Reinforcement Learning in Robotics
Robot Manipulation and Learning
Robotic Locomotion and Control
Robotic Path Planning Algorithms
+1
B
Bradley Hayes

Associate Professor • Co-Associate Chair for Undergraduate Education

Computer Science

University of Colorado Boulder

AI-Based Problem Solving and Planning
Human-Automation Interaction and Safety
Reinforcement Learning in Robotics
Robot Manipulation and Learning
+1
Y
Yuxin Chen

Assistant Professor of Computer Science

Computer Science

University of Chicago

Advanced Bandit Algorithms Research
Domain Adaptation and Few-Shot Learning
Machine Learning and Algorithms
Machine Learning and Data Classification
+1
L
Distributed and Parallel Computing Systems
Energy Efficient Wireless Sensor Networks
Mobile Ad Hoc Networks
Multi-Agent Systems and Negotiation
+1
A
Advanced Bandit Algorithms Research
Distributed Control Multi-Agent Systems
Reinforcement Learning in Robotics
Sparse and Compressive Sensing Techniques
+1
S
Adversarial Robustness in Machine Learning
Formal Methods in Verification
Logic, Programming, and Type Systems
Reinforcement Learning in Robotics
+1
T
Artificial Intelligence in Games
Career Development and Diversity
Reinforcement Learning in Robotics
Sports Analytics and Performance
+1
I
Advanced Bandit Algorithms Research
Evolutionary Game Theory and Cooperation
Game Theory and Applications
Reinforcement Learning in Robotics
+1
Previous
1

...

810

...

14
Next