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Reinforcement Learning in Robotics Research Faculty | GradNova

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Reinforcement Learning in Robotics

Reinforcement Learning in Robotics

135 faculty research Reinforcement Learning in Robotics on GradNova.

M

Matthew Gombolay

Associate Professor

College of Computing

Georgia Institute of Technology

Advanced Graph Neural Networks

Human-Automation Interaction and Safety

Mobile Crowdsensing and Crowdsourcing

Reinforcement Learning in Robotics

+1

G

Assistant Professor in SCP, Joint with the Daniel

College of Computing

Georgia Institute of Technology

Advanced Bandit Algorithms Research

Model Reduction and Neural Networks

Reinforcement Learning in Robotics

S

Assistant Professor

College of Computing

Georgia Institute of Technology

Formal Methods in Verification

Game Theory and Applications

Logic, Programming, and Type Systems

Reinforcement Learning in Robotics

+1

...

B

Assistant Professor of the Practice of Computer Science

Computer Science

Duke University

Auction Theory and Applications

Experimental Behavioral Economics Studies

Game Theory and Applications

Game Theory and Voting Systems

+1

S

Santiago Ontanon

Associate Professor

Computer Science

Drexel University

Case-Based Reasoning

Machine Learning

+5

B

Brian K. Plancher

Assistant Professor

Computer Science

Dartmouth College

IoT and Edge/fog Computing

Modular Robots and Swarm Intelligence

Reinforcement Learning in Robotics

Robotic Locomotion and Control

+1

V

Assistant Professor

Computer Science

University of British Columbia

Artificial Intelligence & Machine Learning

Natural Language Processing

Educational Games and Gamification

AI in Service Interactions

+3

S

Sanjiban Choudhury

Assistant Professor of Computer Science

Computer Science

Cornell University

Foundation Models for Planning, Robotics, and Code Generation

Imitation Learning

Reinforcement Learning

Robotic Path Planning Algorithms

+4

C

Christopher Painter-Wakefield

Teaching Professor

Computer Science

Colorado School of Mines

Advanced Bandit Algorithms Research

Advanced MIMO Systems Optimization

Advanced Multi-Objective Optimization Algorithms

Model Reduction and Neural Networks

+1

S

Saptarashmi Bandyopadhyay

Assistant Professor of Computer Science

Computer Science

City University of New York

Adversarial Robustness in Machine Learning

Artificial Intelligence in Games

Auction Theory and Applications

Open Source Software Innovations

+5

S

Soumya Ray, PhD

Associate Professor, Department of Computer and Data Sciences, Case School of Engineering

Computer Science

Case Western Reserve University

Coronary Interventions and Diagnostics

Image Retrieval and Classification Techniques

Machine Learning and Algorithms

Machine Learning and Data Classification

+1

S

Sanmukh Kuppannagari, PhD

James C. Wyant Assistant Professor , Department of Computer and Data Sciences, Case School of Engineering

Computer Science

Case Western Reserve University

Advanced Neural Network Applications

Energy Load and Power Forecasting

Microgrid Control and Optimization

Reinforcement Learning in Robotics

+6

Y

Post Doctoral Research Associate

Computer Science

Carnegie Mellon University

Advanced Image Processing Techniques

Computer Graphics and Visualization Techniques

Cryptography and Data Security

Privacy-Preserving Technologies in Data

+1

J

Jonathan Francis

Courtesy Faculty

Computer Science

Carnegie Mellon University

Multimodal Machine Learning Applications

Reinforcement Learning in Robotics

Social Robot Interaction and Hri

M

Assistant Professor

Computer Science

Carnegie Mellon University

Advanced Bandit Algorithms Research

Machine Learning and Algorithms

Model Reduction and Neural Networks

Reinforcement Learning in Robotics

+1

A

Adjunct Faculty

Computer Science

Carnegie Mellon University

Advanced Bandit Algorithms Research

Complexity and Algorithms in Graphs

Optimization and Search Problems

Reinforcement Learning in Robotics

+1

A

Assistant Professor

Computer Science

Carnegie Mellon University

Anomaly Detection Techniques and Applications

Autonomous Vehicle Technology and Safety

Reinforcement Learning in Robotics

Robot Manipulation and Learning

+1

Z

Zackory Erickson

Assistant Professor

Computer Science

Carnegie Mellon University

Advanced Sensor and Energy Harvesting Materials

Muscle Activation and Electromyography Studies

Reinforcement Learning in Robotics

Robot Manipulation and Learning

+1

W

Senior Systems Scientist

Computer Science

Carnegie Mellon University

Auction Theory and Applications

Mobile Crowdsensing and Crowdsourcing

Modular Robots and Swarm Intelligence

Privacy-Preserving Technologies in Data

+1

H

Associate Professor

Computer Science

Carnegie Mellon University

Gaze Tracking and Assistive Technology

Reinforcement Learning in Robotics

Robot Manipulation and Learning

Robotics and Automated Systems

+1

D

Associate Professor without Tenure

Computer Science

Carnegie Mellon University

Adversarial Robustness in Machine Learning

Autonomous Vehicle Technology and Safety

Reinforcement Learning in Robotics

Traffic Control and Management

+1

D

Raj Reddy Assistant Professor in Robotics

Computer Science

Carnegie Mellon University

Domain Adaptation and Few-Shot Learning

Human Pose and Action Recognition

Multimodal Machine Learning Applications

Reinforcement Learning in Robotics

+1

T

Tuomas W Sandholm

Angel Jordan University Professor of Computer Science

Computer Science

Carnegie Mellon University

AI-Based Problem Solving and Planning

Artificial Intelligence in Games

Auction Theory and Applications

Game Theory and Applications

+1

R

Ruslan Salakhutdinov

UPMC Professor of Computer Science

Computer Science

Carnegie Mellon University

Domain Adaptation and Few-Shot Learning

Multimodal Machine Learning Applications

Natural Language Processing Techniques

Reinforcement Learning in Robotics

+1