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Efficient Exploration With Latent Structure

Bethany R. Leffler, Michael L. Littman, Alexander L. Strehl, Thomas J. Walsh

Year
2005
Citations
8
Access
Open access

Abstract

Abstract — When interacting with a new environment, a robot can improve its online performance by efficiently exploring the effects of its actions. The efficiency of exploration can be expanded significantly by modeling and using latent structure to generalize experiences. We provide a theoretical development of the problem of exploration with latent structure, analyze several algorithms and prove matching lower bounds. We demonstrate our algorithmic ideas on a simple robot car repeatedly traversing a path with two different surface properties. I.

Keywords

Computer scienceArtificial intelligence

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