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Deep Reinforcement Learning

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Overall attention for this book and its chapters
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Citations

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Title
Deep Reinforcement Learning
Published by
Springer Singapore, August 2020
DOI 10.1007/978-981-15-4095-0
ISBNs
978-9-81-154094-3, 978-9-81-154095-0
Editors

Dong, Hao, Ding, Zihan, Zhang, Shanghang

X Demographics

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The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 21%
Student > Master 14 18%
Researcher 5 6%
Student > Bachelor 5 6%
Student > Doctoral Student 4 5%
Other 11 14%
Unknown 24 30%
Readers by discipline Count As %
Engineering 27 34%
Computer Science 19 24%
Social Sciences 2 3%
Business, Management and Accounting 1 1%
Linguistics 1 1%
Other 5 6%
Unknown 25 31%