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Record
Title
Deep Reinforcement Learning Approach to Portfolio Optimization
Type
Student Paper
Publ. year
2022
Author/s
Sadriu, Lorik
Department/s
Department of Economics
In LUP since
2022-02-03
Downloads

Total This Year This Month
2655 216 1
Downloads per country

United States of America 469 (18%)
Sweden 261 (10%)
India 193 (7%)
Germany 176 (7%)
United Kingdom of Great Britain and Northern Ireland 146 (5%)
Italy 91 (3%)
France 78 (3%)
Singapore 78 (3%)
China 77 (3%)
Iran 74 (3%)
Thailand 68 (3%)
South Korea 52 (2%)
Hong Kong (China) 46 (2%)
Netherlands (Kingdom of the) 46 (2%)
Denmark 45 (2%)
Canada 42 (2%)
Japan 40 (2%)
Switzerland 35 (1%)
Taiwan (China) 32 (1%)
Viet Nam 31 (1%)
Turkiye 30 (1%)
Israel 29 (1%)
Brazil 29 (1%)
Morocco 28 (1%)
Finland 28 (1%)
Russian Federation 27 (1%)
South Africa 26 (1%)
Spain 21 (1%)
Unknown 21 (1%)
Norway 18 (1%)
Romania 16 (1%)
Serbia 15 (1%)
Austria 15 (1%)
Australia 15 (1%)
Mauritius 15 (1%)
Czechia 14 (1%)
Poland 14 (1%)
Ireland 14 (1%)
Tunisia 13 (0%)
Colombia 9 (0%)
Mexico 9 (0%)
Indonesia 9 (0%)
Greece 9 (0%)
Saudi Arabia 7 (0%)
Portugal 7 (0%)
Slovenia 7 (0%)
Slovakia 6 (0%)
Algeria 6 (0%)
Philippines 6 (0%)
Ghana 6 (0%)
Chile 5 (0%)
Hungary 5 (0%)
Argentina 5 (0%)
Kenya 5 (0%)
Pakistan 5 (0%)
Egypt 4 (0%)
Sri Lanka 4 (0%)
Luxembourg 4 (0%)
Belgium 4 (0%)
Lithuania 4 (0%)
Bulgaria 3 (0%)
Botswana 3 (0%)
Moldova, The Republic of 3 (0%)
Bangladesh 3 (0%)
New Zealand 3 (0%)
Malaysia 3 (0%)
Ethiopia 2 (0%)
Bolivia 2 (0%)
Macao 2 (0%)
Latvia 2 (0%)
Croatia 2 (0%)
Ukraine 2 (0%)
Paraguay 2 (0%)
Lebanon 2 (0%)
Mongolia 2 (0%)
Solomon Islands 2 (0%)
Panama 2 (0%)
United Arab Emirates 2 (0%)
Kazakhstan 1 (0%)
Malta 1 (0%)
Kuwait 1 (0%)
Azerbaijan 1 (0%)
Senegal 1 (0%)
Jordan 1 (0%)
Bosnia and Herzegovina 1 (0%)
Lesotho 1 (0%)
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Georgia 1 (0%)
Iraq 1 (0%)
Macedonia 1 (0%)
Armenia 1 (0%)
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Zimbabwe 1 (0%)
Peru 1 (0%)
Nigeria 1 (0%)
Tanzania, the United Republic of 1 (0%)
Togo 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 fulltexts. Efforts have been made to exclude downloads by robots and track irregular download activities.

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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
Thu Jun 5 08:36:05 2025