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X Demographics
Mendeley readers
Title |
Transfer in Reinforcement Learning Domains
|
---|---|
Published by |
Springer Science & Business Media, June 2009
|
DOI | 10.1007/978-3-642-01882-4 |
ISBNs |
978-3-64-201881-7, 978-3-64-201882-4
|
Authors |
Matthew E. Taylor, Taylor, Matthew E. |
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 % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 3% |
China | 1 | 1% |
Korea, Republic of | 1 | 1% |
Unknown | 63 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 33% |
Student > Master | 15 | 22% |
Student > Doctoral Student | 5 | 7% |
Professor > Associate Professor | 4 | 6% |
Professor | 3 | 4% |
Other | 11 | 16% |
Unknown | 7 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 36 | 54% |
Engineering | 13 | 19% |
Earth and Planetary Sciences | 2 | 3% |
Social Sciences | 2 | 3% |
Physics and Astronomy | 1 | 1% |
Other | 2 | 3% |
Unknown | 11 | 16% |