↓ Skip to main content

Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning

Overview of attention for article published in Frontiers in Neurorobotics, December 2019
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
44 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning
Published in
Frontiers in Neurorobotics, December 2019
DOI 10.3389/fnbot.2019.00103
Pubmed ID
Authors

Shota Ohnishi, Eiji Uchibe, Yotaro Yamaguchi, Kosuke Nakanishi, Yuji Yasui, Shin Ishii

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Student > Master 7 16%
Researcher 6 14%
Professor 2 5%
Lecturer > Senior Lecturer 1 2%
Other 2 5%
Unknown 17 39%
Readers by discipline Count As %
Computer Science 9 20%
Engineering 9 20%
Economics, Econometrics and Finance 1 2%
Mathematics 1 2%
Decision Sciences 1 2%
Other 1 2%
Unknown 22 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 21 March 2024.
All research outputs
#8,088,313
of 26,189,645 outputs
Outputs from Frontiers in Neurorobotics
#195
of 1,062 outputs
Outputs of similar age
#163,383
of 483,284 outputs
Outputs of similar age from Frontiers in Neurorobotics
#5
of 25 outputs
Altmetric has tracked 26,189,645 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,062 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 81% 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 483,284 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 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.