Reinforcement Learning in Robotics

319 faculty research Reinforcement Learning in Robotics on GradNova.

Brenna Argall

Professor of Computer Science; Professor of Mechanical Engineering; Professor of Physical Medicine and Rehabilitation

Computer Science

Northwestern University

AI and Design

Biosystems and Health

Robotics and Autonomy

Robot Manipulation and Learning

Waleed Meleis

Vice Provost for Graduate Education, Office of the Provost

Department of Electrical and Computer Engineering

Northeastern University

Assistive Technology

Combinatorial Optimization

Function Approximation for Large-Scale Machine Learning

Platforms for Large-Scale Social Experimentation

Mahdi Imani

Associate Professor, Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Northeastern University

Machine Learning and Decision-Making in Complex Cyber-Physical Systems

Multi-Agent Systems and Negotiation

Reinforcement Learning in Robotics

Human-Automation Interaction and Safety

Derya Aksaray

Assistant Professor, Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Northeastern University

Planning, Learning, and Control of Autonomous Robots With Theoretical Guarantees

Formal Methods in Verification

Robotic Path Planning Algorithms

Optimization and Search Problems

Yeo Jin Kim

Research Scholar

Computer Science

North Carolina State University

Educational Games and Gamification

Innovative Teaching and Learning Methods

Intelligent Tutoring Systems and Adaptive Learning

Reinforcement Learning in Robotics

Min Chi

Professor

Computer Science

North Carolina State University

Fuzzy Logic and Control Systems

Innovative Teaching and Learning Methods

Neural Networks and Applications

Psychometric Methodologies and Testing

Zhong-Ping Jiang

Institute Professor

Department of Electrical and Computer Engineering

New York University

Adaptive Control of Nonlinear Systems

Distributed Control Multi-Agent Systems

Neural Networks and Applications

Reinforcement Learning in Robotics

Julian Togelius

Professor of Computer Science and Engineering

Computer Science

New York University

AI-Assisted Creativity

Evolutionary Computation

Game AI

Open-Endedness

Benjamin Riviere

Assistant Professor of Mechanical and Aerospace Engineering, and Computer Science

Computer Science

New York University

Dynamical Systems

Monte Carlo Tree Search

Reinforcement Learning

Robotics

Masoud Karimi

Professor

Department of Electrical and Computer Engineering

Mississippi State University

Innovative Energy Harvesting Technologies

Prosthetics and Rehabilitation Robotics

Reinforcement Learning in Robotics

Stroke Rehabilitation and Recovery

Bahare Kiumarsi

Associate Professor

Department of Electrical and Computer Engineering

Michigan State University

Adaptive Control of Nonlinear Systems

Adaptive Dynamic Programming Control

Advanced Control Systems Optimization

Control Systems and Identification

Josh Siegel

Associate Professor

Department of Electrical and Computer Engineering

Michigan State University

Autonomous Vehicle Technology and Safety

Parallel Computing and Optimization Techniques

Reinforcement Learning in Robotics

Traffic Control and Management

Yu Kong

Assistant Professor

Computer Science

Michigan State University

Advanced Neural Network Applications

Domain Adaptation and Few-Shot Learning

Reinforcement Learning in Robotics

Priya Donti

Assistant Professor, [EE, AI+D]

Department of Electrical Engineering and Computer Science (EECS)

Massachusetts Institute of Technology

AI and Society

Artificial Intelligence + Machine Learning

Energy

Energy Load and Power Forecasting

Leslie Kaelbling

Professor

CSAIL

Massachusetts Institute of Technology

Advanced Image and Video Retrieval Techniques

Advanced Vision and Imaging

Human Pose and Action Recognition

Multimodal Machine Learning Applications

Dylan Hadfield-Menell

Associate Professor

CSAIL

Massachusetts Institute of Technology

Advanced Bandit Algorithms Research

Adversarial Robustness in Machine Learning

Auction Theory and Applications

Reinforcement Learning in Robotics

Pulkit Agrawal

Associate Professor

CSAIL

Massachusetts Institute of Technology

Acute Kidney Injury Research

Domain Adaptation and Few-Shot Learning

Reinforcement Learning in Robotics

Robot Manipulation and Learning

Stephen Lee-Urban

Teaching Professor

Computer Science

Lehigh University

AI-Based Problem Solving and Planning

Artificial Intelligence in Games

Digital Games and Media

Logic, Reasoning, and Knowledge

Laixi Shi

Assistant Professor

Department of Electrical and Computer Engineering

Johns Hopkins University

Adaptive Dynamic Programming Control

Advanced Bandit Algorithms Research

Adversarial Robustness in Machine Learning

Domain Adaptation and Few-Shot Learning

Tinoosh Mohsenin

Associate Professor

Department of Electrical and Computer Engineering

Johns Hopkins University

Advanced Memory and Neural Computing

Advanced Neural Network Applications

EEG and Brain-Computer Interfaces

Parallel Computing and Optimization Techniques

Chinmay Maheshwari

Assistant Professor

Department of Electrical and Computer Engineering

Johns Hopkins University

Auction Theory and Applications

Game Theory and Applications

Opinion Dynamics and Social Influence

Reinforcement Learning in Robotics

Homanga Bharadhwaj

Assistant Professor

Computer Science

Johns Hopkins University

Computer Vision

Machine Learning

Robotics

Robot Manipulation and Learning

Shouvik Roy

Assistant Teaching Professor of Computer Science

Computer Science

Illinois Institute of Technology

Adversarial Robustness in Machine Learning

Distributed Control Multi-Agent Systems

Formal Methods in Verification

Reinforcement Learning in Robotics

Maegan Tucker

Assistant Professor

School of Electrical and Computer Engineering

Georgia Institute of Technology

Muscle Activation and Electromyography Studies

Prosthetics and Rehabilitation Robotics

Reinforcement Learning in Robotics

Robot Manipulation and Learning

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