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Safe multi-agent reinforcement learning for multi-robot control

Overview of attention for article published in Artificial Intelligence, June 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Safe multi-agent reinforcement learning for multi-robot control
Published in
Artificial Intelligence, June 2023
DOI 10.1016/j.artint.2023.103905
Authors

Shangding Gu, Jakub Grudzien Kuba, Yuanpei Chen, Yali Du, Long Yang, Alois Knoll, Yaodong Yang

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 10%
Student > Master 3 10%
Researcher 3 10%
Professor 2 7%
Student > Ph. D. Student 1 3%
Other 3 10%
Unknown 14 48%
Readers by discipline Count As %
Engineering 9 31%
Computer Science 5 17%
Medicine and Dentistry 1 3%
Arts and Humanities 1 3%
Unknown 13 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 24 May 2023.
All research outputs
#4,840,893
of 25,394,764 outputs
Outputs from Artificial Intelligence
#159
of 1,084 outputs
Outputs of similar age
#88,557
of 388,748 outputs
Outputs of similar age from Artificial Intelligence
#2
of 14 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,084 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 84% 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 388,748 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.