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Mendeley readers
| Chapter title |
Hierarchical Reinforcement Learning
|
|---|---|
| Chapter number | 10 |
| Book title |
Deep Reinforcement Learning
|
| Published by |
Springer, Singapore, January 2020
|
| DOI | 10.1007/978-981-15-4095-0_10 |
| Book ISBNs |
978-9-81-154094-3, 978-9-81-154095-0
|
| Authors |
Yanhua Huang, Huang, Yanhua |
Mendeley readers
The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Japan | 3 | 1% |
| China | 2 | <1% |
| Canada | 1 | <1% |
| Portugal | 1 | <1% |
| Ghana | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 192 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 20% |
| Student > Master | 40 | 19% |
| Researcher | 33 | 16% |
| Student > Bachelor | 15 | 7% |
| Professor > Associate Professor | 10 | 5% |
| Other | 32 | 16% |
| Unknown | 34 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 92 | 45% |
| Engineering | 32 | 16% |
| Psychology | 9 | 4% |
| Agricultural and Biological Sciences | 5 | 2% |
| Mathematics | 4 | 2% |
| Other | 16 | 8% |
| Unknown | 48 | 23% |