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Professors in Reinforcement Learning
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59 professors available publicly
Sriraam Natarajan
Statistical Relational Learning
Reinforcement Learning
Graphical Models
Sriraam Natarajan, Ph.D. is a Professor of Computer Science at The University of Texas at Dallas and Director of the Center for Machine Learning. His research interests include artificial intelligence, machine learning, statistical relational learning, reinforcement learning, gra...
Roy Fox
reinforcement learning
control theory
information theory
Roy Fox is an Assistant Professor and founder of the Intelligent Dynamics Lab (indylab) in the Department of Computer Science in the Donald Bren School of Information & Computer Science at the University of California, Irvine. He’s affiliated with the Center for Machine Learnin...
Mark Nelson
procedural content generation
automated game design
reinforcement learning
I'm a computer scientist with a background in artificial intelligence (AI). My research focuses mostly on AI & games, especially procedural content generation and automated game design. I've also done some work in reinforcement learning, evolutionary computation, creativity suppo...
Luis Ortiz
Artificial Intelligence (AI)
Machine Learning
Reinforcement Learning
I am an Associate Professor at the Department of Computer and Information Science at the University of Michigan - Dearborn, a position I have held since September 2018. I was an Assistant Professor from September 2015 until August 2018.
From August 2008 through August 2015, I ...
Byung-Cheol Min
human-robot interaction
reinforcement learning
learning from demonstration
Dr. Byung-Cheol (“B.C.”) Min is a Professor with a joint appointment in the Department of Computer Science and the Department of Intelligent Systems Engineering at the Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington. He joined the unive...
Adam White
Reinforcement Learning
Continual Learning
Intrinsic Motivation
Adam White, PhD is an Associate Professor in the Department of Computing Science at the University of Alberta, a Canada CIFAR AI Chair, and Director of the Alberta Machine Intelligence Institute (Amii). His research focuses on reinforcement learning, continual learning, robotics,...
Mahdi Khodayar
Deep Learning
Spatiotemporal Pattern Recognition
Reinforcement Learning
Mahdi Khodayar, Ph.D., received his B.Sc. degree in computer engineering and the M.Sc. degree in artificial intelligence from K.N. Toosi University of Technology, Tehran, Iran, in 2013 and 2015, respectively, and a Ph.D. degree in electrical engineering from Southern Methodist Un...
Nghia Hoang
Federated Learning
Bayesian Methods for Big Data
Neural Networks
Education:
B.Sc. in University of Science (Vietnam), 2009
Ph.D. in Computer Science, National University of Singapore (Singapore), 2015 – PhD Thesis
Work Experience:
2015 - 2017: Research Fellow, National University of Singapore (NUS), Singapore
2017 - 2018: Postdoctoral...
Xiangnan Zhong
Adaptive Dynamic Programming (ADP)
Reinforcement Learning
Computational Intelligence
Xiangnan Zhong is currently an Associate Professor with the Department of Electrical Engineering and Computer Science, Florida Atlantic University (FAU), Boca Raton, FL, USA. She received the Ph.D. degree in Electrical, Computer, and Biomedical Engineering from University of Rhod...
Josiah Hanna
Reinforcement Learning
Data-Efficient Reinforcement Learning
Autonomous Agents Learning
Josiah Hanna is an assistant professor in the Computer Sciences Department at the University of Wisconsin -- Madison. He received his Ph.D. in the Computer Science Department at the University of Texas at Austin. Prior to attending UT Austin, he completed his B.S. in computer sci...
Dean Hougen
Artificial Neural Networks
Deep Learning
Interpretable Machine Learning
Dr. Dean F. Hougen is a professor in the School of Computer Science at the University of Oklahoma. Dr. Hougen has a PhD in Computer Science and Engineering from the University of Minnesota, with a graduate minor in Cognitive Science, and a BS in Computer Science from Iowa State U...
Samira Sadaoui
Adaptive Machine Learning
Incremental/Decremental Learning
Concept Drift Learning
Obtained MSc and PhD in Computer Science from the University of Nancy I, France
Currently Professor of Computer Science at the University of Regina, Regina, Canada
Current research interests are in Artificial Intelligence, including: Adaptive Machine Learning, Incremental/Decre...
Minwoo Jake Lee
reinforcement learning
interpretational learning
transfer learning
I am an associate professor in the Department of Computer Science and School of Data Science, University of North Carolina at Charlotte (Charlotte). I am working on machine learning algorithms for reinforcement learning. My interests focus on various topics in machine learning, w...
Shangtong Zhang
reinforcement learning
theoretical reinforcement learning
empirical reinforcement learning
Shangtong Zhang is an Alf Weaver Assistant Professor in the Department of Computer Science at the University of Virginia, directing the Sequential Intelligence Lab (SIL). His research focuses on both theoretical and empirical aspects of reinforcement learning, resulting in multip...
Tyler Bonnell
Agent-Based Modeling (ABM)
Reinforcement Learning
Geospatial Statistical Tools
Dr. Tyler Ronald Bonnell is an Assistant Professor in the Department of Computer Science and the Department of Psychology (Adjunct) at the University of Calgary, where he also serves as the Co-Director of the Data Science and Analytics program. He leads the Behavioural Ecology an...
Genya Ishigaki
Network Slicing
Network Caching
Combinatorial Optimization
Genya Ishigaki is an Assistant Professor at San Jose State University. He received his Ph.D. and M.S. in Computer Science from The University of Texas at Dallas in 2021, and his B.S. and M.S. in Engineering from Soka University, Japan. His research interests include network slici...
Zoran Tiganj
Natural Language Processing (NLP)
Reinforcement Learning
Spatial Navigation
Zoran Tiganj received his Ph.D. in computer science from INRIA in 2011 and his M.S. degree in electrical engineering from University of Zagreb in 2008. He worked as a postdoctoral associate at University of Versailles 2011-2012, and as a postdoctoral associate and research scient...
Kianté Brantley
Natural Language Processing (NLP)
reinforcement learning
imitation learning
I am an Assistant Professor of Computer Science at Kempner Institute and School of Engineering and Applied Sciences (SEAS), Harvard University. My research focuses on problems at the intersection of machine learning and interactive decision-making, with the goal of improving the ...
Haipeng Chen
Use-Inspired AI
Reinforcement Learning
Generative AI
Haipeng Chen is an assistant professor and graduate program director of the Data Science Department at William & Mary. He directs the W&M Data-Driven Decision Intelligence (D3i) Lab. Externally, he serves as the vice chair of the AI Blue Ribbon Collaborative at Center for Telehea...
Ibrahim RADWAN
machine learning
artificial intelligence
reinforcement learning
Dr Ibrahim Radwan is an Associate Professor in Machine Learning/AI at the University of Canberra