Reinforcement Learning in Robotics
319 faculty research Reinforcement Learning in Robotics on GradNova.
Applications of Machine Learning in Natural Language Processing (conversational Agents, Grammar Error Correction, Automated Text Editing) and Material Design (bayesian Optimization of Catalysts, Oxygen Carriers and Other Materials to Facilitate Desirable Chemical Reactions for Co2 Conversion and Co2 Capture)
Machine Learning, Including Reinforcement Learning, Federated Learning, Continual Learning, Self-Supervised Learning, Meta Learning, Few Shot Learning, Causal Learning, Uncertainty Quantification and Calibration
Reinforcement Learning in Robotics
Topic Modeling
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Assistant Professor, Electrical and Computer Engineering
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Professor, Electrical and Computer Engineering and Systems Design Engineering
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Professor and Director of Graduate Studies
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Associate Professor, Electrical and Computer Engineering
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Assistant Professor of Electrical and Computer Engineering and Computer Science
Ming Hsieh Department of Electrical and Computer Engineering
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Associate Professor of Computer Science Practice