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Reinforcement Learning Research Faculty | GradNova

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Reinforcement Learning

Reinforcement Learning

15 faculty research Reinforcement Learning on GradNova.

B

Professeur adjoint

Computer Science

Université de Montréal

Reinforcement Learning

Q

Assistant Professor

Computer Science

University of South Carolina

Machine Learning

Reinforcement Learning

Turfgrass Adaptation and Management

Plant Tissue Culture and Regeneration

+3

P

Pooyan Jamshidi

Professor

Computer Science

University of South Carolina

Causal Representation Learning

Computer Systems

ML Explainability

+11

F

Forest Agostinelli

Professor

Computer Science

University of South Carolina

Information Retrieval

Machine Learning

Reinforcement Learning

+5

A

Lloyd G. and Joyce Austin Presidential Professor

Computer Science

University of Oklahoma

Ai/ml for Meteorology

Machine Learning

Reinforcement Learning

Relational Knowledge Discovery

+6

R

Radaideh, Majdi

Assistant Professor, Nuclear Engineering & Radiological SciencesAffiliate Faculty, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

And Control Systems

Applied Generative AI

Bayesian Computation

Large-Scale Optimization Algorithms

+2

P

Poesia, Gabriel

Visiting Assistant Professor, EECS- Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Discovery Systems

Formal Reasoning

Large Language Models

Machine Learning

+3

B

Baveja, Satinder Singh

Professor

Computer Science and Engineering

University of Michigan

Adaptive Human Computer Interaction

Computational Game Theory

Machine Learning

Reinforcement Learning

W

Assistant Professor

Computer Science

University of California, Merced

Internet of Things (iot)

Mobile Computing

Reinforcement Learning

+6

M

Teaching Professor

Computer Science

Tufts University

Machine Learning

Reinforcement Learning

D

Dr. Donald C. Wunsch II

Professor in Computer Engineering/Mary Finley Endowed Chair

Computer Science

University of Missouri–St. Louis

Adaptive Critic Designs

Adaptive Dynamic Programming

Adaptive Resonance Theory

Approximate Dynamic Programming

+16

S

Stephanie Milani

Incoming Assistant Professor

Computer Science

Johns Hopkins University

Human-Computer Interaction

Interactive Machine Learning

Machine Learning

Reinforcement Learning

+5

H

Incoming Assistant Professor

Computer Science

Johns Hopkins University

Dynamic Game Theory

Human-Robot Interaction

Reinforcement Learning

+7

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

T

Senior Lecturer in Discipline

Computer Science

Columbia University

Reinforcement Learning

Control and Dynamics of Mobile Robots

+4