2010 LearningthroughExploration

• (Langford & Beygelzimer, 2010) ⇒ John Langford, and Alina Beygelzimer. (2010). “Learning through Exploration.” Tutorial at the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining]] (KDD-2010). doi:10.1145/1866286.1866290

Subject Headings: Learning Through Exploration.

Notes

• http://videolectures.net/kdd2010_beygelzimer_langford_lte/

Cited By

• http://scholar.google.com/scholar?q=%22Learning+through+exploration%22+2010
• http://portal.acm.org/citation.cfm?id=1866290&preflayout=flat#citedby

Quotes

Abstract

This tutorial is about learning through exploration. The goal is to learn how to make decisions in partial feedback settings where an agent repeatedly observes some information, chooses an action, and then learns how this action paid off (but doesn't get to see how other actions would have paid off). We plan to cover all aspects of this general problem: learning, evaluation, limitations of ability to learn in this setting, and the relationship to traditional supervised learning.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2010 LearningthroughExploration	Alina Beygelzimer John Langford			Learning through Exploration				10.1145/1866286.1866290		2010