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Mendeley readers
Chapter title |
Multi-Agent Reinforcement Learning Tool for Job Shop Scheduling Problems
|
---|---|
Chapter number | 1 |
Book title |
Optimization and Learning
|
Published by |
Springer, Cham, February 2020
|
DOI | 10.1007/978-3-030-41913-4_1 |
Book ISBNs |
978-3-03-041912-7, 978-3-03-041913-4
|
Authors |
Yailen Martínez Jiménez, Jessica Coto Palacio, Ann Nowé, Martínez Jiménez, Yailen, Coto Palacio, Jessica, Nowé, Ann |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 27% |
Student > Master | 5 | 15% |
Student > Bachelor | 2 | 6% |
Lecturer | 2 | 6% |
Professor | 2 | 6% |
Other | 3 | 9% |
Unknown | 10 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 14 | 42% |
Computer Science | 5 | 15% |
Decision Sciences | 1 | 3% |
Chemistry | 1 | 3% |
Social Sciences | 1 | 3% |
Other | 0 | 0% |
Unknown | 11 | 33% |