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Mendeley readers
Chapter title |
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics
|
---|---|
Chapter number | 2 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-46133-1_2 |
Book ISBNs |
978-3-03-046132-4, 978-3-03-046133-1
|
Authors |
Denis Steckelmacher, Hélène Plisnier, Diederik M. Roijers, Ann Nowé, Steckelmacher, Denis, Plisnier, Hélène, Roijers, Diederik M., Nowé, Ann |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 14 | 28% |
Researcher | 9 | 18% |
Student > Ph. D. Student | 9 | 18% |
Student > Bachelor | 6 | 12% |
Professor | 1 | 2% |
Other | 2 | 4% |
Unknown | 9 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 24 | 48% |
Engineering | 4 | 8% |
Mathematics | 2 | 4% |
Decision Sciences | 2 | 4% |
Psychology | 1 | 2% |
Other | 3 | 6% |
Unknown | 14 | 28% |