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PROFESSORS IN REINFORCEMENT LEARNING

Showing page 3 of 3 — 50 professors available publicly

Isabeau Prémont-Schwarz

brain-inspired artificial intelligence reinforcement learning combinatorial generalization

Isabeau Prémont-Schwarz is a professor of artificial intelligence. He is interested in brain-inspired AI, agent learning (including reinforcement learning), combinatorial generalization, and how to form "good" abstractions.

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Dr. Dongchul Kim

reinforcement learning multi-agent reinforcement learning robotic control

I am an Associate Professor in the Department of Computer Science at The University of Texas Rio Grande Valley, where I also serve as the Graduate Program Coordinator. My research focuses on reinforcement learning, multi-agent reinforcement learning, robotic control, and drug dis...

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Kwanghee Won

Intelligent Vision Systems Autonomous Vehicles Deep Convolutional Neural Networks

Dr. Kwanghee Won is an Associate Professor in the Department of Electrical Engineering and Computer Science at South Dakota State University, where he specializes in Intelligent Vision Systems and Autonomous Vehicles. He earned his B.S., M.S., and Ph.D. in Computer Engineering fr...

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Dr. Sihong He

Robust Multi-Agent Reinforcement Learning Robust Optimization Cyber-Physical Systems (CPS)

Dr. Sihong He is a Tenure-Track Assistant Professor at UTA, with a distinguished academic and research background in artificial intelligence, reinforcement learning, robust optimization, and robust learning. Dr. He earned her Ph.D. in Computer Science from the University of Conne...

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Srijita Das

Active Learning Cost-Sensitive Learning Reinforcement Learning

I am currently a tenure-track Assistant Professor in the Computer & Information Sciences department at University of Michigan-Dearborn. Prior to that, I spent three wonderful years at University of Alberta working with Prof. Matt Taylor as part of the Intelligent Robot Learni...

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Dr. Mulong Luo

Large Language Models (LLMs) Reinforcement Learning AI for Security

Dr. Luo’s research spans the broad areas of computer security, computer systems, AI for security, and AI security. In particular, he is interested in how modern AI techniques—such as large language models (LLMs) and reinforcement learning—can help build more secure computer...

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Rodrigo Canaan

evolutionary computing quality-diversity algorithms reinforcement learning

Rodrigo Canaan is an Assistant Professor in the Computer Science and Software Engineering Department at California Polytechnic State University (Cal Poly). His research focuses on artificial intelligence, games, and co-creativity, with particular interests in evolutionary computi...

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Ryan Shi

Societal Computing Game Theory Online Learning

Before joining SCI, Ryan Shi was a Ph.D. candidate of Societal Computing in the School of Computer Science at Carnegie Mellon University. He works with nonprofit organizations to address societal challenges in food security, environmental conservation, and public health using AI....

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Fei Dou

Federated Learning Reinforcement Learning Self-Supervised Learning

Fei Dou is an Assistant Professor in the School of Computing at the University of Georgia. She obtained her Ph.D. in 2023 from the Department of Computer Science and Engineering at the University of Connecticut, where she worked in the Laboratory of Machine Learning & Health Info...

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Ruiquan Huang

deep learning reinforcement learning trustworthiness of ML/AI systems

My research interests lie broadly in Machine Learning (ML) and Artificial Intelligence (AI), with a particular focus on deep learning, reinforcement learning, and the trustworthiness of ML/AI systems.

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