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Mendeley readers
Chapter title |
Solving Deep Memory POMDPs with Recurrent Policy Gradients
|
---|---|
Chapter number | 71 |
Book title |
Artificial Neural Networks – ICANN 2007
|
Published by |
Springer, Berlin, Heidelberg, September 2007
|
DOI | 10.1007/978-3-540-74690-4_71 |
Book ISBNs |
978-3-54-074689-8, 978-3-54-074690-4
|
Authors |
Daan Wierstra, Alexander Foerster, Jan Peters, Jürgen Schmidhuber |
Mendeley readers
The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
France | 2 | 1% |
Korea, Republic of | 1 | <1% |
Italy | 1 | <1% |
Germany | 1 | <1% |
United Kingdom | 1 | <1% |
Czechia | 1 | <1% |
Belgium | 1 | <1% |
New Zealand | 1 | <1% |
Other | 0 | 0% |
Unknown | 178 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 54 | 29% |
Student > Master | 37 | 20% |
Researcher | 34 | 18% |
Student > Bachelor | 19 | 10% |
Student > Postgraduate | 7 | 4% |
Other | 18 | 10% |
Unknown | 20 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 97 | 51% |
Engineering | 43 | 23% |
Physics and Astronomy | 6 | 3% |
Agricultural and Biological Sciences | 3 | 2% |
Neuroscience | 2 | 1% |
Other | 13 | 7% |
Unknown | 25 | 13% |