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Mendeley readers
| Chapter title |
Multi-Agent Reinforcement Learning
|
|---|---|
| Chapter number | 11 |
| Book title |
Deep Reinforcement Learning
|
| Published by |
Springer, Singapore, January 2020
|
| DOI | 10.1007/978-981-15-4095-0_11 |
| Book ISBNs |
978-9-81-154094-3, 978-9-81-154095-0
|
| Authors |
Huaqing Zhang, Shanghang Zhang, Zhang, Huaqing, Zhang, Shanghang |
Mendeley readers
The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 230 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 25% |
| Student > Master | 38 | 16% |
| Researcher | 19 | 8% |
| Student > Bachelor | 15 | 6% |
| Student > Doctoral Student | 9 | 4% |
| Other | 31 | 13% |
| Unknown | 63 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 76 | 33% |
| Engineering | 56 | 24% |
| Mathematics | 6 | 3% |
| Energy | 6 | 3% |
| Business, Management and Accounting | 3 | 1% |
| Other | 13 | 6% |
| Unknown | 72 | 31% |