You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 26% |
Student > Master | 5 | 14% |
Student > Bachelor | 2 | 6% |
Lecturer | 2 | 6% |
Professor | 2 | 6% |
Other | 4 | 11% |
Unknown | 11 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 14 | 40% |
Computer Science | 5 | 14% |
Decision Sciences | 1 | 3% |
Unspecified | 1 | 3% |
Chemistry | 1 | 3% |
Other | 1 | 3% |
Unknown | 12 | 34% |