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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/3-540-45622-8_37
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43941-7
Online ISBN: 978-3-540-45622-3
eBook Packages: Springer Book Archive