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| Title |
Deep Reinforcement Learning
|
|---|---|
| Published by |
Springer Singapore, October 2019
|
| DOI | 10.1007/978-981-13-8285-7 |
| ISBNs |
978-9-81-138284-0, 978-9-81-138285-7
|
| Authors |
Sewak, Mohit |
Twitter Demographics
The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 282 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 282 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 77 | 27% |
| Student > Master | 66 | 23% |
| Researcher | 29 | 10% |
| Student > Bachelor | 23 | 8% |
| Student > Doctoral Student | 9 | 3% |
| Other | 26 | 9% |
| Unknown | 52 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 92 | 33% |
| Engineering | 87 | 31% |
| Physics and Astronomy | 6 | 2% |
| Agricultural and Biological Sciences | 5 | 2% |
| Business, Management and Accounting | 5 | 2% |
| Other | 24 | 9% |
| Unknown | 63 | 22% |