Skip to main content
Record
Title
Reinforcement Learning for Real Time Bidding
Type
Student Paper
Publ. year
2019
Author/s
Smith, Erik
Department/s
Department of Computer Science
In LUP since
2019-09-16
Downloads

Total This Year This Month
1554 536 41
 Downloads per Country

United States of America
610 (39%)
Sweden
140 (9%)
China
96 (6%)
South Korea
59 (4%)
Brazil
56 (4%)
India
53 (3%)
Germany
52 (3%)
United Kingdom of Great Britain and Northern Ireland
46 (3%)
France
33 (2%)
Viet Nam
31 (2%)
Russian Federation
25 (2%)
Israel
25 (2%)
Singapore
20 (1%)
Canada
20 (1%)
Netherlands (Kingdom of the)
18 (1%)
Hong Kong (China)
17 (1%)
Spain
14 (1%)
Kazakhstan
14 (1%)
Indonesia
14 (1%)
Mexico
11 (1%)
Japan
11 (1%)
Italy
10 (1%)
Turkiye
10 (1%)
Poland
10 (1%)
Taiwan (China)
9 (1%)
Argentina
9 (1%)
Greece
8 (1%)
Iran
7 (0%)
Philippines
7 (0%)
Unknown
7 (0%)
Colombia
6 (0%)
Finland
6 (0%)
Australia
6 (0%)
Ukraine
5 (0%)
Austria
5 (0%)
Bangladesh
5 (0%)
Pakistan
5 (0%)
South Africa
4 (0%)
Tunisia
4 (0%)
Portugal
4 (0%)
Czechia
4 (0%)
Ireland
4 (0%)
Thailand
3 (0%)
Palestinian Territory
3 (0%)
Romania
3 (0%)
Belarus
3 (0%)
Uzbekistan
2 (0%)
Syrian Arab Republic
2 (0%)
Malaysia
2 (0%)
Mongolia
2 (0%)
Azerbaijan
2 (0%)
Denmark
2 (0%)
Ethiopia
2 (0%)
Switzerland
2 (0%)
Nigeria
2 (0%)
Norway
2 (0%)
Serbia
2 (0%)
Peru
1 (0%)
Uruguay
1 (0%)
Panama
1 (0%)
Chile
1 (0%)
Morocco
1 (0%)
Paraguay
1 (0%)
Bulgaria
1 (0%)
Namibia
1 (0%)
Tanzania, the United Republic of
1 (0%)
New Zealand
1 (0%)
Iraq
1 (0%)
Latvia
1 (0%)
Kenya
1 (0%)
Bosnia and Herzegovina
1 (0%)
Cyprus
1 (0%)
Bahrain
1 (0%)
Kuwait
1 (0%)
Maldives
1 (0%)
Guatemala
1 (0%)
Angola
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
2026-10-27 07:01:59