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Map-based experience replay: a memory-efficient solution to catastrophic forgetting in reinforcement learning

Overview of attention for article published in Frontiers in Neurorobotics, June 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
9 X users

Readers on

mendeley
6 Mendeley
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Title
Map-based experience replay: a memory-efficient solution to catastrophic forgetting in reinforcement learning
Published in
Frontiers in Neurorobotics, June 2023
DOI 10.3389/fnbot.2023.1127642
Pubmed ID
Authors

Muhammad Burhan Hafez, Tilman Immisch, Tom Weber, Stefan Wermter

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Researcher 1 17%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline Count As %
Computer Science 2 33%
Engineering 1 17%
Unknown 3 50%
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 18 July 2023.
All research outputs
#7,968,340
of 25,394,764 outputs
Outputs from Frontiers in Neurorobotics
#201
of 1,040 outputs
Outputs of similar age
#127,296
of 373,344 outputs
Outputs of similar age from Frontiers in Neurorobotics
#6
of 36 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,040 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 80% 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 373,344 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 65% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.