| Title |
Emotion in reinforcement learning agents and robots: a survey
|
|---|---|
| Published in |
Machine Learning, August 2017
|
| DOI | 10.1007/s10994-017-5666-0 |
| Authors |
Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 28% |
| Netherlands | 1 | 3% |
| Indonesia | 1 | 3% |
| Japan | 1 | 3% |
| Turkey | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 16 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 79% |
| Scientists | 5 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 339 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 339 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 78 | 23% |
| Student > Master | 62 | 18% |
| Researcher | 47 | 14% |
| Student > Bachelor | 30 | 9% |
| Student > Doctoral Student | 13 | 4% |
| Other | 33 | 10% |
| Unknown | 76 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 129 | 38% |
| Engineering | 46 | 14% |
| Psychology | 17 | 5% |
| Neuroscience | 13 | 4% |
| Social Sciences | 7 | 2% |
| Other | 38 | 11% |
| Unknown | 89 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 April 2022.
All research outputs
#1,838,594
of 24,653,581 outputs
Outputs from Machine Learning
#37
of 1,099 outputs
Outputs of similar age
#35,623
of 321,243 outputs
Outputs of similar age from Machine Learning
#2
of 9 outputs
Altmetric has tracked 24,653,581 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,099 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 96% 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 321,243 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 88% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.