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Mendeley readers
Chapter title |
Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning
|
---|---|
Chapter number | 30 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer Berlin Heidelberg, January 2011
|
DOI | 10.1007/978-3-642-23780-5_30 |
Book ISBNs |
978-3-64-223779-9, 978-3-64-223780-5
|
Authors |
Weiwei Cheng, Johannes Fürnkranz, Eyke Hüllermeier, Sang-Hyeun Park |
Editors |
Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis |
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 % |
---|---|---|
United States | 1 | 2% |
Iceland | 1 | 2% |
Poland | 1 | 2% |
Italy | 1 | 2% |
Unknown | 40 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 23% |
Student > Ph. D. Student | 10 | 23% |
Professor | 4 | 9% |
Student > Master | 4 | 9% |
Professor > Associate Professor | 2 | 5% |
Other | 5 | 11% |
Unknown | 9 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 26 | 59% |
Engineering | 2 | 5% |
Social Sciences | 2 | 5% |
Unspecified | 1 | 2% |
Philosophy | 1 | 2% |
Other | 0 | 0% |
Unknown | 12 | 27% |