Professor
Co-Director, Autonomous Learning Lab
Associate Editor, Journal of Machine Learning Research
Research Areas:
Artificial Intelligence
Machine Learning
Markov Decision Processes & Reinforcement Learning
Representation Discovery
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Professor Co-Director, Autonomous Learning Lab Associate Editor, Journal of Machine Learning Research Research Areas: Artificial Intelligence Machine Learning Markov Decision Processes & Reinforcement Learning Representation Discovery |
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My research interests and experience span many areas of artificial intelligence, cognitive science, decision-making, and machine learning. A core interest in the past few years is on methods for automatically constructing representations using unsupervised statistical learning methods based on modeling data manifolds. My recent work has also focused on combining unsupervised representation discovery with learning and planning, including decision-theoretic planning and reinforcement learning, supervised learning, and transfer learning. Currently funded research projects include algorithms for transfer learning based on aligning learned manifold representations; methods for automatically constructing basis functions in Markov decision processes and reinforcement learning; and multiscale "wavelet"-based algorithms for extracting hierarchical features.
Contact InformationSridhar MahadevanDepartment of Computer Science 140 Governor's Drive University of Massachusetts Amherst, MA 01003 Administrative Assistant: Gwyn Mitchell, mitchell@cs.umass.edu VOICE: (413)545-3140
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