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Reinforcement Learning in Robotics

Reinforcement Learning in Robotics

319 faculty research Reinforcement Learning in Robotics on GradNova.

U
Advanced Image and Video Retrieval Techniques
Human Pose and Action Recognition
Multimodal Machine Learning Applications
Reinforcement Learning in Robotics
+1
J
Jesus De Loera

External Graduate Program Faculty - Professor

Computer Science

University of California, Davis

Advanced Graph Theory Research
Algebraic Geometry and Number Theory
Formal Methods in Verification
Mathematical Dynamics and Fractals
+1
S
Artificial Intelligence (ai)
Biosystems & Computational Biology (bio)
Control, Intelligent Systems, and Robotics (cir)
Bayesian Modeling and Causal Inference
+4
K
Artificial Intelligence (ai)
Control, Intelligent Systems, and Robotics (cir)
Human-Computer Interaction (hci)
Robot Manipulation and Learning
+4
P
Artificial Intelligence (ai)
Control, Intelligent Systems, and Robotics (cir)
Reinforcement Learning in Robotics
Robot Manipulation and Learning
+3
C
Interactive Machine Learning
Learning Theory
Reinforcement Learning and Bandits
Advanced Bandit Algorithms Research
+4
V
AI-Based Problem Solving and Planning
Computability, Logic, AI Algorithms
Logic, Reasoning, and Knowledge
Reinforcement Learning in Robotics
+1
M
Artificial Intelligence in Games
Educational Games and Gamification
Reinforcement Learning in Robotics
Robotic Path Planning Algorithms
+1
J
Distributed Control Multi-Agent Systems
Model Reduction and Neural Networks
Reinforcement Learning in Robotics
Robotic Path Planning Algorithms
+1
C
Machine Learning
Bayesian Modeling and Causal Inference
Anomaly Detection Techniques and Applications
Reinforcement Learning in Robotics
+2
V
Embodied AI Approaches for Performing Complex Tasks That Require Creativity, Reasoning, and Alignment With Social and Ethical Norms
AI-Based Problem Solving and Planning
Topic Modeling
Natural Language Processing Techniques
+2
J
Computational Perception
Developmental Robotics
Human-Robot and Human-Computer Interaction
Machine Learning
+6
R
Goal and Plan Recognition
Human-Robot Interactions
Intelligent Disobedience
Multi-Agent Systems
+6
A
Machine Learning
Reinforcement Learning in Robotics
Domain Adaptation and Few-Shot Learning
Adversarial Robustness in Machine Learning
R
Bioinformatics and Computational Biology
Machine Learning
Evolutionary Algorithms and Applications
Reinforcement Learning in Robotics
+3
J
Intelligent Robotics
Machine Learning
Robotics and Sensor-Based Localization
Robotic Path Planning Algorithms
+3
V
Artificial Intelligence > Computer Vision, Medical Imaging, Image and Video Processing
Artificial Intelligence > Machine Learning, Data Mining
Artificial Intelligence > Robotics, Autonomous Vehicles and Systems, Automation
Big Data and Data Science
+5
S
Advanced Thermodynamics and Statistical Mechanics
Adversarial Robustness in Machine Learning
Model Reduction and Neural Networks
Neural Dynamics and Brain Function
+1
Y
Yiwei Lyu

Assistant Professor, Computer Science & Engineering

Computer Science

Texas A&M University

Distributed Control Multi-Agent Systems
Formal Methods in Verification
Human-Automation Interaction and Safety
Reinforcement Learning in Robotics
+1
D
Dylan Shell

Professor, Computer Science & Engineering

Computer Science

Texas A&M University

Distributed Control Multi-Agent Systems
Modular Robots and Swarm Intelligence
Optimization and Search Problems
Reinforcement Learning in Robotics
+1
A
Model Reduction and Neural Networks
Reinforcement Learning in Robotics
Robot Manipulation and Learning
Robotic Path Planning Algorithms
+1
C
Chelsea Finn

Assistant Professor of Computer Science and of Electrical Engineering

Computer Science

Stanford University

Domain Adaptation and Few-Shot Learning
Generative Adversarial Networks and Image Synthesis
Multimodal Machine Learning Applications
Natural Language Processing Techniques
+1
J
Jeannette Bohg

Associate Professor of Computer Science

Computer Science

Stanford University

Human Pose and Action Recognition
Reinforcement Learning in Robotics
Robot Manipulation and Learning
Robotic Path Planning Algorithms
+1
L
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Topic Modeling
Reinforcement Learning in Robotics
+1
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