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PROFESSORS IN DEEP REINFORCEMENT LEARNING

Showing page 1 of 1 — 9 professors available publicly

Pieter Abbeel

deep reinforcement learning deep imitation learning deep unsupervised learning

Professor Pieter Abbeel is Director of the Berkeley Robot Learning Lab and Co-Director of the Berkeley Artificial Intelligence (BAIR) Lab. Abbeel’s research strives to build ever more intelligent systems, which has his lab push the frontiers of deep reinforcement learning, deep...

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Sergey Levine

deep reinforcement learning inverse reinforcement learning end-to-end deep neural network policies

Sergey Levine received a BS and MS in Computer Science from Stanford University in 2009, and a Ph.D. in Computer Science from Stanford University in 2014. He joined the faculty of the Department of Electrical Engineering and Computer Sciences at UC Berkeley in fall 2016. His work...

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Chelsea Finn

End-to-End Learning of Visual Perception Robotic Manipulation Skills Deep Reinforcement Learning

Chelsea Finn is an Assistant Professor in Computer Science and Electrical Engineering at Stanford University, and the William George and Ida Mary Hoover Faculty Fellow. Professor Finn's research interests lie in the ability to enable robots and other agents to develop broadly int...

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Han Liu

Modern Artificial General Intelligible and Computer Systems (MAGICS) Deep Reinforcement Learning Statistical Machine Learning on Edge and Cloud Systems

Han Liu directs the MAGICS (Modern Artificial General Intelligible and Computer Systems) lab at the Northwestern University. He has been the director of the deep reinforcement learning center at Tencent AI Lab and had been a professor at the Princeton University and Johns Hopkins...

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Gautam Biswas

Deep Reinforcement Learning Unsupervised Anomaly Detection Semi-supervised Anomaly Detection

Gautam Biswas is a Cornelius Vanderbilt Professor of Engineering, and Professor of Computer Science and Computer Engineering in the CS Department. He also is a Senior Research Scientist at the Institute for Software Integrated Systems. He has an undergraduate degree in Electrical...

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Abhishek Gupta

deep reinforcement learning embodied intelligence robotic manipulation in unstructured environments

Abhishek Gupta is an assistant professor in computer science and engineering at the Paul G. Allen School at the University of Washington, where he leads the Washington Embodied Intelligence and Robotics Development (WEIRD) Lab. Previously, Gupta was a post-doctoral scholar at ...

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Grace Hui Yang

privacy-preserving information retrieval deep reinforcement learning interactive search agents

Dr. Grace Hui Yang is a Professor in the Department of Computer Science at Georgetown University, Washington D.C. Dr. Yang is leading the InfoSense (Information Retrieval and Sense-Making) group at Georgetown University. Dr. Yang obtained her Ph.D. from Carnegie Mellon University...

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Forest Agostinelli

Deep Reinforcement Learning Heuristic Search Weighted A* Search

Forest Agostinelli is an Assistant Professor in the Department of Computer Science and Engineering at the University of South Carolina, where he leads the Deep Reasoning Lab. His research lies at the intersection of Artificial Intelligence, Deep Learning, and Reinforcement Learni...

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Dr. Maxwell Omwenga

Cognitive Ground Penetrating Radar (GPR) Deep Reinforcement Learning Edge Computing

Dr. Maxwell Omwenga is the Program Director of the Department of Computer Science and Engineering at the University of Evansville (UE). With a deep passion for innovation and education, Dr. Omwenga has dedicated his career to advancing the fields of machine learning, cyber-physic...

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