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Learning agile soccer skills for a bipedal robot with deep reinforcement learning

Overview of attention for article published in Science Robotics, April 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 694)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
43 news outlets
blogs
2 blogs
twitter
5468 X users
facebook
3 Facebook pages
reddit
2 Redditors
video
3 YouTube creators

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
139 Mendeley
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Title
Learning agile soccer skills for a bipedal robot with deep reinforcement learning
Published in
Science Robotics, April 2024
DOI 10.1126/scirobotics.adi8022
Pubmed ID
Authors

Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H Huang, Dhruva Tirumala, Jan Humplik, Markus Wulfmeier, Saran Tunyasuvunakool, Noah Y Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5,468 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 139 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 15%
Student > Master 15 11%
Researcher 13 9%
Unspecified 5 4%
Other 5 4%
Other 10 7%
Unknown 70 50%
Readers by discipline Count As %
Computer Science 27 19%
Engineering 26 19%
Unspecified 5 4%
Physics and Astronomy 3 2%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 2 1%
Unknown 74 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3342. 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 17 October 2024.
All research outputs
#1,865
of 26,811,559 outputs
Outputs from Science Robotics
#1
of 694 outputs
Outputs of similar age
#26
of 355,419 outputs
Outputs of similar age from Science Robotics
#1
of 26 outputs
Altmetric has tracked 26,811,559 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 694 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 174.5. This one has done particularly well, scoring higher than 99% 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 355,419 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.