Deep Reinforcement Learning
Springer Singapore
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Timeline
X Demographics
Mendeley readers
| Chapter title |
Introduction to Reinforcement Learning
|
|---|---|
| Chapter number | 2 |
| Book title |
Deep Reinforcement Learning
|
| Published by |
Springer, Singapore, January 2020
|
| DOI | 10.1007/978-981-15-4095-0_2 |
| Book ISBNs |
978-9-81-154094-3, 978-9-81-154095-0
|
| Authors |
Zihan Ding, Yanhua Huang, Hang Yuan, Hao Dong, Ding, Zihan, Huang, Yanhua, Yuan, Hang, Dong, Hao |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,181 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 1% |
| United Kingdom | 6 | <1% |
| Germany | 5 | <1% |
| Netherlands | 4 | <1% |
| France | 3 | <1% |
| Japan | 3 | <1% |
| Spain | 2 | <1% |
| Mexico | 2 | <1% |
| Saudi Arabia | 1 | <1% |
| Other | 5 | <1% |
| Unknown | 1135 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 296 | 25% |
| Student > Master | 205 | 17% |
| Researcher | 133 | 11% |
| Student > Bachelor | 97 | 8% |
| Student > Doctoral Student | 57 | 5% |
| Other | 153 | 13% |
| Unknown | 240 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 367 | 31% |
| Engineering | 223 | 19% |
| Psychology | 67 | 6% |
| Neuroscience | 40 | 3% |
| Agricultural and Biological Sciences | 40 | 3% |
| Other | 157 | 13% |
| Unknown | 287 | 24% |