Abstract
Marc’s research interests are in how abstractions can be created automatically by a machine learning agent. He is also interested in automatically creating representations, how knowledge can be grounded in sensory information, and methods for bridging the gap between statistical and symbolic computation. More generally, his interests include cognitive neuroscience, and applications of artificial intelligence to understanding complex systems.
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Pickett, M., Barto, A.: PolicyBlocks: An Algorithm for Creating Useful Macro-Actions in Reinforcement Learning. in proceedings of the International Conference on Machine Learning (2002)
Pickett, M., Jensen D., Manmatha, R. Indexing Handwritten Text using Clustering Algorithms. Synthesis Project Report, University of Massachusetts (2002)
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© 2002 Springer-Verlag Berlin Heidelberg
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Pickett, M. (2002). Research Summary. In: Koenig, S., Holte, R.C. (eds) Abstraction, Reformulation, and Approximation. SARA 2002. Lecture Notes in Computer Science(), vol 2371. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45622-8_37
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DOI: https://doi.org/10.1007/3-540-45622-8_37
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