| Title |
Practical issues in temporal difference learning
|
|---|---|
| Published in |
Machine Learning, May 1992
|
| DOI | 10.1007/bf00992697 |
| Authors |
Gerald Tesauro |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 5% |
| United Kingdom | 5 | 3% |
| Spain | 3 | 2% |
| Switzerland | 2 | 1% |
| Canada | 2 | 1% |
| India | 2 | 1% |
| Brazil | 2 | 1% |
| Australia | 1 | <1% |
| South Africa | 1 | <1% |
| Other | 10 | 5% |
| Unknown | 154 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 56 | 29% |
| Student > Master | 36 | 19% |
| Researcher | 24 | 13% |
| Student > Bachelor | 12 | 6% |
| Professor | 9 | 5% |
| Other | 36 | 19% |
| Unknown | 18 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 99 | 52% |
| Engineering | 24 | 13% |
| Psychology | 13 | 7% |
| Business, Management and Accounting | 7 | 4% |
| Agricultural and Biological Sciences | 6 | 3% |
| Other | 18 | 9% |
| Unknown | 24 | 13% |
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 07 April 2024.
All research outputs
#8,065,702
of 25,655,374 outputs
Outputs from Machine Learning
#312
of 1,255 outputs
Outputs of similar age
#5,372
of 18,103 outputs
Outputs of similar age from Machine Learning
#7
of 10 outputs
Altmetric has tracked 25,655,374 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 1,255 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 73% 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 18,103 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 69% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.