Reinforcement Learning Trees
Reinforcement Learning Trees
About this item
Full title
Author / Creator
Publisher
United States: Taylor & Francis
Journal title
Language
English
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Publisher
United States: Taylor & Francis
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Scope and Contents
Contents
In this article, we introduce a new type of tree-based method, reinforcement learning trees (RLT), which exhibits significantly improved performance over traditional methods such as random forests (Breiman
2001
) under high-dimensional settings. The innovations are three-fold. First, the new method implements reinforcement learning at each se...
Alternative Titles
Full title
Reinforcement Learning Trees
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4760114
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4760114
Other Identifiers
ISSN
0162-1459,1537-274X
E-ISSN
1537-274X
DOI
10.1080/01621459.2015.1036994
