ORCID
Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Paulo Ricardo Sturion in research grants and scholarships supported by FAPESP.
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The project aims to develop different Reinforcement Learning techniques (Proximal Policy Optimization, Recurrent Reinforcement Learning and Deep-Q-Learning) in a comparative way for the application to the problem of automatic investment on the Brazilian stock market - specifically for daily operations (swing trade ). Therefore, it is proposed: the development of a database with historical…
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