| Title |
Human-level performance in 3D multiplayer games with population-based reinforcement learning
|
|---|---|
| Published in |
Science, May 2019
|
| DOI | 10.1126/science.aau6249 |
| Pubmed ID | |
| Authors |
Max Jaderberg, Wojciech M Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio Garcia Castañeda, Charles Beattie, Neil C Rabinowitz, Ari S Morcos, Avraham Ruderman, Nicolas Sonnerat, Tim Green, Louise Deason, Joel Z Leibo, David Silver, Demis Hassabis, Koray Kavukcuoglu, Thore Graepel |
X Demographics
The data shown below were collected from the profiles of 605 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 | 118 | 20% |
| United Kingdom | 43 | 7% |
| France | 24 | 4% |
| India | 20 | 3% |
| Canada | 18 | 3% |
| Spain | 16 | 3% |
| Germany | 14 | 2% |
| Japan | 13 | 2% |
| Switzerland | 8 | 1% |
| Other | 92 | 15% |
| Unknown | 239 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 479 | 79% |
| Scientists | 108 | 18% |
| Science communicators (journalists, bloggers, editors) | 11 | 2% |
| Practitioners (doctors, other healthcare professionals) | 7 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1131 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 232 | 21% |
| Student > Master | 197 | 17% |
| Researcher | 158 | 14% |
| Student > Bachelor | 109 | 10% |
| Other | 54 | 5% |
| Other | 112 | 10% |
| Unknown | 269 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 467 | 41% |
| Engineering | 133 | 12% |
| Mathematics | 32 | 3% |
| Physics and Astronomy | 28 | 2% |
| Neuroscience | 27 | 2% |
| Other | 149 | 13% |
| Unknown | 295 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1075. 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 06 December 2023.
All research outputs
#14,611
of 25,784,004 outputs
Outputs from Science
#733
of 83,333 outputs
Outputs of similar age
#240
of 365,159 outputs
Outputs of similar age from Science
#13
of 1,049 outputs
Altmetric has tracked 25,784,004 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 83,333 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.0. 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 365,159 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 1,049 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 98% of its contemporaries.