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Mendeley readers
Chapter title |
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees
|
---|---|
Chapter number | 25 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-10928-8_25 |
Book ISBNs |
978-3-03-010927-1, 978-3-03-010928-8
|
Authors |
Guiliang Liu, Oliver Schulte, Wang Zhu, Qingcan Li, Liu, Guiliang, Schulte, Oliver, Zhu, Wang, Li, Qingcan |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 98 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 16 | 16% |
Student > Ph. D. Student | 15 | 15% |
Student > Bachelor | 8 | 8% |
Researcher | 7 | 7% |
Student > Doctoral Student | 4 | 4% |
Other | 10 | 10% |
Unknown | 38 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 43 | 44% |
Engineering | 11 | 11% |
Psychology | 2 | 2% |
Agricultural and Biological Sciences | 1 | 1% |
Decision Sciences | 1 | 1% |
Other | 3 | 3% |
Unknown | 37 | 38% |