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Record
Title
Deep Reinforcement Learning in Real-time Bidding
Type
Student Paper
Publ. year
2018
Author/s
Stigland, Oskar
Department/s
Mathematics (Faculty of Engineering)
In LUP since
2018-12-28
Downloads

Total This Year This Month
1909 183 0
 Downloads per Country

United States of America
407 (21%)
China
194 (10%)
Sweden
138 (7%)
South Korea
111 (6%)
India
109 (6%)
Germany
96 (5%)
United Kingdom of Great Britain and Northern Ireland
65 (3%)
France
57 (3%)
Israel
52 (3%)
Hong Kong (China)
51 (3%)
Canada
44 (2%)
Russian Federation
43 (2%)
Netherlands (Kingdom of the)
42 (2%)
Brazil
38 (2%)
Japan
31 (2%)
Taiwan (China)
28 (1%)
Finland
26 (1%)
Spain
24 (1%)
Kazakhstan
21 (1%)
Armenia
19 (1%)
Singapore
18 (1%)
Thailand
15 (1%)
Denmark
15 (1%)
Ukraine
15 (1%)
Viet Nam
14 (1%)
Turkiye
12 (1%)
Poland
12 (1%)
Italy
12 (1%)
Iran
11 (1%)
Australia
11 (1%)
Greece
10 (1%)
Unknown
10 (1%)
Morocco
10 (1%)
Portugal
9 (0%)
Ireland
8 (0%)
Czechia
6 (0%)
Argentina
6 (0%)
Indonesia
6 (0%)
South Africa
6 (0%)
Austria
5 (0%)
Colombia
5 (0%)
Pakistan
5 (0%)
Switzerland
5 (0%)
Hungary
4 (0%)
Mongolia
4 (0%)
Serbia
4 (0%)
Mexico
4 (0%)
Cyprus
4 (0%)
Philippines
4 (0%)
Macao
4 (0%)
Bangladesh
4 (0%)
Latvia
4 (0%)
Norway
4 (0%)
New Zealand
3 (0%)
Ethiopia
3 (0%)
Estonia
3 (0%)
Lithuania
3 (0%)
Belgium
3 (0%)
Algeria
3 (0%)
Kuwait
2 (0%)
United Arab Emirates
2 (0%)
Slovakia
2 (0%)
Azerbaijan
2 (0%)
Nigeria
2 (0%)
Romania
2 (0%)
Angola
1 (0%)
Chile
1 (0%)
Nepal
1 (0%)
Tunisia
1 (0%)
Egypt
1 (0%)
Slovenia
1 (0%)
Iraq
1 (0%)
Dominican Republic
1 (0%)
Macedonia
1 (0%)
Kenya
1 (0%)
Lebanon
1 (0%)
Bahrain
1 (0%)
Paraguay
1 (0%)
Namibia
1 (0%)
Montenegro
1 (0%)
Bulgaria
1 (0%)
Senegal
1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access full-texts. Efforts have been made to exclude downloads by robots and track irregular download activities.

About accessibility

Disclaimer
The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
2026-05-28 12:58:00