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Reinforcement Learning in Robotics

Reinforcement Learning in Robotics

146 faculty research Reinforcement Learning in Robotics on GradNova.

B
AI-Based Problem Solving and Planning
Human-Automation Interaction and Safety
Reinforcement Learning in Robotics
Robot Manipulation and Learning
+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
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
J
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
A
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
Multimodal Machine Learning Applications
Reinforcement Learning in Robotics
+1
A
Reinforcement Learning in Robotics
Sport and Mega-Event Impacts
Sports Injuries and Prevention
Sports, Gender, and Society
+1
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
Reinforcement Learning in Robotics
Robotic Path Planning Algorithms
Robotics and Sensor-Based Localization
+1
Y
Advanced Research in Systems and Signal Processing
Bayesian Modeling and Causal Inference
Reinforcement Learning in Robotics
I
Robotics, Computer Graphics, Artificial Intelligence
Robotic Path Planning Algorithms
Evacuation and Crowd Dynamics
Human Motion and Animation
+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
M
Matthias Scheutz

Karol Family Applied Technology Professor

Computer Science

Tufts University

Artificial Life
Cognitive Modeling
Foundations of Cognitive Science
Human-Robot Interaction
+8
P
Peter Stone

Department Chair, Professor, Truchard Foundation Chair in Computer Science and University Distinguished Teaching Professor

Computer Science

The University of Texas at Austin

Intelligent Robotics
Machine Learning
Reinforcement Learning in Robotics
Robotic Path Planning Algorithms
+3
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
M
Autonomous Robot Systems
Development of Intelligent Behavior
Machine Learning
Sensor-Driven Robotics
+5
V
Big Data and Data Science
Computer Vision
Data Mining
Image and Video Processing
+9
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