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Technical Update: Least-Squares Temporal Difference Learning

Overview of attention for article published in Machine Learning, November 2002
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
1 X user
patent
2 patents

Citations

dimensions_citation
185 Dimensions

Readers on

mendeley
192 Mendeley
citeulike
1 CiteULike
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Title
Technical Update: Least-Squares Temporal Difference Learning
Published in
Machine Learning, November 2002
DOI 10.1023/a:1017936530646
Authors

Justin A. Boyan

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 4 2%
United States 3 2%
United Kingdom 3 2%
Sweden 2 1%
China 2 1%
France 1 <1%
Brazil 1 <1%
Czechia 1 <1%
Netherlands 1 <1%
Other 8 4%
Unknown 166 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 30%
Student > Master 40 21%
Researcher 28 15%
Professor 14 7%
Student > Bachelor 9 5%
Other 24 13%
Unknown 20 10%
Readers by discipline Count As %
Computer Science 90 47%
Engineering 40 21%
Mathematics 8 4%
Neuroscience 5 3%
Psychology 4 2%
Other 12 6%
Unknown 33 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 September 2023.
All research outputs
#7,355,930
of 25,374,647 outputs
Outputs from Machine Learning
#269
of 1,225 outputs
Outputs of similar age
#16,513
of 52,992 outputs
Outputs of similar age from Machine Learning
#1
of 6 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,225 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 52,992 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them